Assistant Professor
Washington, DC · On-site
... machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers. • Collaborate with faculty across ...
Assistant Professor
Washington, DC · On-site
... machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers. • Collaborate with faculty across ...
Post-Doctoral Associate
College Park, MD · On-site +1
$85K - $95K/yr
... a Postdoctoral Associate to contribute to research at The intersection of satellite remote sensing, crop modeling, machine learning, and food security. The position is housed within the yield ...
Post-Doctoral Associate
College Park, MD · On-site +1
$85K - $95K/yr
... a Postdoctoral Associate to contribute to research at The intersection of satellite remote sensing, crop modeling, machine learning, and food security. The position is housed within the yield ...
Postdoctoral Fellow (PREP0004401)
Gaithersburg, MD · On-site
$53K - $72K/yr
... postdoctoral researcher to join a multi-disciplinary team of scientists working on advanced ... CFD) and machine learning (ML) models of transport and surface reaction processes, with the ...
Postdoctoral Fellow (PREP0004401)
Gaithersburg, MD · On-site
$53K - $72K/yr
... postdoctoral researcher to join a multi-disciplinary team of scientists working on advanced ... CFD) and machine learning (ML) models of transport and surface reaction processes, with the ...
Postdoctoral Fellow (PREP0004302)
Gaithersburg, MD · On-site
$53K - $72K/yr
The postdoc will lead efforts on parallelized readout and real-time adaptive control for high ... Relevant work experience with machine learning (PyTorch) or physics and programming in Python,
Postdoctoral Fellow (PREP0004302)
Gaithersburg, MD · On-site
$53K - $72K/yr
The postdoc will lead efforts on parallelized readout and real-time adaptive control for high ... Relevant work experience with machine learning (PyTorch) or physics and programming in Python,
... physics, machine learning, and artificial intelligence to build systems that automatically or ... Have had a Postdoc work experience, or significant internship experience, in a relevant technical ...
... physics, machine learning, and artificial intelligence to build systems that automatically or ... Have had a Postdoc work experience, or significant internship experience, in a relevant technical ...
NIST PREP Postdoc Associate in Quantum Networks Entanglement Layer Research
Gaithersburg, MD · On-site
$80K - $90K/yr
Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in ...
NIST PREP Postdoc Associate in Quantum Networks Entanglement Layer Research
Gaithersburg, MD · On-site
$80K - $90K/yr
Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in ...
NIST PREP Postdoc Associate in Quantum Networks Entanglement Layer Research
Gaithersburg, MD · On-site
$14.25 - $17.50/hr
Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in ...
NIST PREP Postdoc Associate in Quantum Networks Entanglement Layer Research
Gaithersburg, MD · On-site
$14.25 - $17.50/hr
Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in ...
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Quick apply
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Data Scientist III
Washington, DC · On-site
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Data Scientist III
Washington, DC · On-site
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Data Scientist III
Washington, DC · On-site
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Data Scientist III
Washington, DC · On-site
This role is responsible for applying data science, machine learning, and data engineering ... May be requested to work evenings and weekends to meet program and contract needs. Working at SOSi ...
Postdoctoral Fellow (PREP0004155)
Gaithersburg, MD · On-site
$53K - $72K/yr
Develop artificial intelligence and machine learning analysis pipelines to support automation and protocol development for wetlab procedures, as well as development of platforms for new, quantitative ...
Postdoctoral Fellow (PREP0004155)
Gaithersburg, MD · On-site
$53K - $72K/yr
Develop artificial intelligence and machine learning analysis pipelines to support automation and protocol development for wetlab procedures, as well as development of platforms for new, quantitative ...
Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
Your expertise in statistical analysis, machine learning, and big data processing will be crucial ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
Post Doctoral Associate
College Park, MD · On-site
$75K - $90K/yr
... postdoctoral scientist to conduct biomolecular research. The researcher will join a ... machine learning to identify odorant signatures. The position provides the opportunity for ...
Post Doctoral Associate
College Park, MD · On-site
$75K - $90K/yr
... postdoctoral scientist to conduct biomolecular research. The researcher will join a ... machine learning to identify odorant signatures. The position provides the opportunity for ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
Faculty, Technology, Engineering, Construction
Largo, MD · On-site
$58K - $75K/yr
... weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote ... AWS Machine Learning Specialty or Google Professional ML Engineer Certification * Cloud-based ...
NIST PREP Postdoc Associate with the Fire Fighting Technology Group
Gaithersburg, MD · On-site
$82K/yr
To reach this goal, the relationships of fire data, such as temperature, smoke, and species concentrations, and the effect of data quality, must be understood to use machine learning for effective ...
NIST PREP Postdoc Associate with the Fire Fighting Technology Group
Gaithersburg, MD · On-site
$82K/yr
To reach this goal, the relationships of fire data, such as temperature, smoke, and species concentrations, and the effect of data quality, must be understood to use machine learning for effective ...
As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that ...
Weekend Machine Learning Postdoc information
What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?
| Aspect | Weekend Machine Learning Postdoc | Weekend Data Scientist |
|---|---|---|
| Required Credentials | PhD in Computer Science, Machine Learning, or related field | Bachelor's or Master's in Data Science, Computer Science, or related field |
| Work Environment | Academic research settings, universities, research labs | Industry companies, startups, consulting firms |
| Employer & Industry Usage | Research institutions, universities, academic grants | Tech companies, finance, healthcare, retail |
| Common Search & Comparison | Yes | Yes |
The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.
What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?
As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.
What is a Weekend Machine Learning Postdoc?
A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.
What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?
To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are the most commonly searched types of Machine Learning Postdoc jobs in Washington, DC? The most popular types of Machine Learning Postdoc jobs in Washington, DC are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Washington, DC? For Weekend Machine Learning Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Washington, DC look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Washington, DC are:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 2 days ago
Howard University rating
8.7
Based on 7 frontline employees who took The Breakroom Quiz
39th of 532 rated colleges and universities
Job description
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.
SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.
NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.
PRINCIPAL ACCOUNTABILITIES:
• Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
• Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
• Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
• Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
• Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.
CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
• Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
• AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
• Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.
MINIMUM REQUIREMENTS:
• Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
• Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
• Demonstrated ability or clear potential to secure external research funding.
• Evidence of excellence or strong potential in undergraduate and graduate teaching.
• Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.
Compliance Salary Range Disclosure
Compensation Range: $135,000 - $150,000
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
- Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
- Work-Life Balance: PTO, paid holidays, flexible work arrangements
- Financial Wellness: Competitive salary, 403(b) with company match
- Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
- Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture
Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.
SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.
NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.
PRINCIPAL ACCOUNTABILITIES:
• Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
• Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
• Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
• Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
• Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.
CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
• Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
• AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
• Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.
MINIMUM REQUIREMENTS:
• Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
• Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
• Demonstrated ability or clear potential to secure external research funding.
• Evidence of excellence or strong potential in undergraduate and graduate teaching.
• Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.
Compliance Salary Range Disclosure
Compensation Range: $135,000 - $150,000