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Weekend Machine Learning Postdoc Jobs in Baltimore, MD

Johns Hopkins University

Postdoctoral Fellow

Baltimore, MD · On-site

$48K - $66K/yr

Machine learning / artificial intelligence (using imaging or 'omics data) Responsibilities: * Lead ... Postdoctoral fellows receive comprehensive benefits; see JHU Postdoctoral Fellow Benefits Overview ...

Umd

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 ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or equivalent research experience applying machine learning or ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field * 3+ years of postdoctoral or equivalent research experience applying machine learning or ...

Amazon

Data Scientist, AWS Security

Annapolis, MD · On-site

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 ...

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Weekend Machine Learning Postdoc information

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 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 is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

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 popular job titles related to Weekend Machine Learning Postdoc jobs in Baltimore, MD? For Weekend Machine Learning Postdoc jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Baltimore, MD look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Baltimore, MD are:
Weekend Machine Learning Postdoc jobs near you
Postdoctoral Fellow - Applied Mathematics and Statistics

Postdoctoral Fellow - Applied Mathematics and Statistics

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 14 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 200 frontline employees who took The Breakroom Quiz

220th of 865 rated healthcare providers

Job description

Description
The Johns Hopkins University's Department of Applied Mathematics and Statistics invites applicants for the position of Postdoctoral Fellow. The successful candidate will collaborate with Dr. Mauro Maggioni's research team on projects in the area of artificial intelligence and digital twins. The Maggioni team specializes in mathematical techniques for analyzing, modeling, and extracting information from large data sets in order to enable smarter machine learning algorithms and scientific discoveries.
The teaching load for this position will be no more than one course each semester, depending on funding and the needs of the department, so that the appointee will have ample time for research. The appointment is for two years, with the possibility of renewal, depending on funding availability.
Applicants are asked to submit (a) a cover sheet; (b) a curriculum vitae; (c) a description of research interests, and (d) a list of references who may be contacted.
Qualifications
A PhD in Mathematics or related field, with a strong record of research, is required. Selected candidate must have completed their PhD prior to appointment start date.

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