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Weekend Machine Learning Postdoc Jobs in Kentucky

... learning and growth. The location in Hawesville, (Kentucky, United States), is seeking talent to ... weekends and/or holidays as needed Actively support and participate in cross-functional teams ...

Paper Machine Coordinator

Hawesville, KY · On-site

$16.50 - $20.75/hr

... learning and growth. The location in Hawesville, (Kentucky, United States), is seeking talent to ... weekends and/or holidays as needed • Actively support and participate in cross-functional teams ...

Overtime and occasional weekend work when production is in high demand * Starting pay $17-22 hourly ... TRAINEES WILL BEGIN BY LEARNING AND MANUAL MACHINING FUNDAMENTALS BEFORE PROGRESSING INTO CNC SETUP ...

New

AI Developer Lead

Lexington, KY · On-site

$81.64K - $138.80K/yr

... week or weekend hours, depending on workload Job Summary The AI Developer Lead is a senior ... Bachelor's degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics ...

AI Developer Lead

Lexington, KY · On-site

$81.64K - $138.80K/yr

... week or weekend hours, depending on workload Job Summary The AI Developer Lead is a senior ... Bachelor's degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics ...

Drop/Count Team

Henderson, KY · On-site

$11.50 - $14.25/hr

... machines, exciting promotions, convenient sports betting, The Pea Patch Deli, Dade Park Grill and ... We're always learning, evolving and growing. We innovate through mutual respect of ideas and ...

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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 the most commonly searched types of Machine Learning Postdoc jobs in Kentucky? The most popular types of Machine Learning Postdoc jobs in Kentucky are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Kentucky? For Weekend Machine Learning Postdoc jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Kentucky look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Kentucky are:
What cities in Kentucky are hiring for Weekend Machine Learning Postdoc jobs? Cities in Kentucky with the most Weekend Machine Learning Postdoc job openings:
Post-doctoral Scholar

Post-doctoral Scholar

University of Kentucky

Lexington, KY • On-site

Full-time

Posted 2 days ago


University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

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Job description

Posting Details
Posting Details
Job Title
Post-doctoral Scholar
Requisition Number
DU14368
Department Name
7H045: Barnstable Brown Diabetes Center
Work Location
Lexington, KY
Salary Range
Commensurate with experience
Type of Position
Student
Position Time Status
Full-Time
Required Education
PhD
Required Related Experience
Experience in life science or related disciplines.
Required License/Registration/Certification
N.A.
Physical Requirements
pushing, pulling, or lifting items up to 50 lbs.
Shift
Primarily days. Evenings and weekends as needed based on ongoing research experiments.
Job Summary
The Emfinger lab in the Barnstable Brown Diabetes Center explores factors that drive diabetes risk by altering insulin secretion and action, focusing on ways in which these factors interact. Projects use machine learning methods and omics data to nominate candidate drivers of islet responses, identify potential conditional dependencies between them, and validate them using wet-lab experiments in mice and human tissues.
Dr. Emfinger is looking to recruit Postdoctoral Scholars interested in islet biology and machine learning. The Postdoctoral scholar will have the opportunity to collect data, analyze large datasets, prepare manuscripts (as first or co-author), and present work at conferences. The environment at UK is open and collaborative and draws from multiple disciplines in endocrinology, biostatistics, genetics, metabolism, and other areas with which there are opportunities to collaborate. The Scholar will also be supported in their own grant applications (e.g. fellowships, pilot proposals). The Scholar is encouraged to develop their own projects related to the goals of the lab. Techniques of interest in these projects include adenoviral transfection of cells/tissues, generation of islet organoids, islet perifusion and islet imaging assays, in vivo assays of metabolism (e.g. glucose tolerance tests), and developing novel machine learning models (in Python and R).
Experience with mammalian cell and tissue culture, transfections, and in vivo phenotyping (particularly oral gavage in mouse models) is required.
Please include a statement of research interests within the cover letter of no more than two pages.
Skills / Knowledge / Abilities
• Strong motivation for metabolic research.
• Some experience working with mice.
• Proficiency in English.
• Interest in learning new techniques.
Does this position have supervisory responsibilities?
No
Preferred Education/Experience
Background in metabolic research preferred.
Deadline to Apply
12/31/2026
Our University Community
We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

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About University of Kentucky

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The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

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