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Postdoctoral Fellow Machine Learning Jobs in Illinois

Meharry Medical College

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Fellow will work closely with the PI on collaborative ...

University of Utah

Post Doctoral Fellow (E)

Campus, IL

$47K - $64K/yr

... of Medicine is seeking a postdoctoral fellow to work on clinical, translational, and ... machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID ...

University of Utah

Post Doctoral Fellow (E)

Campus, IL · On-site

$47K - $64K/yr

... of Medicine is seeking a postdoctoral fellow to work on clinical, translational, and ... machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID ...

University of Utah

Post Doctoral Fellow (E)

Campus, IL · On-site

$47K - $64K/yr

... of Medicine is seeking a postdoctoral fellow to work on clinical, translational, and ... machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID ...

University of Utah

Post Doc Fellow w/Ret

Campus, IL

$47K - $64K/yr

Alysse Loomis, the postdoctoral fellow will contribute to several ongoing studies and evaluations ... Engage in statewide and national learning networks (e.g., National Child Traumatic Stress ...

University of Utah

Post Doc Fellow w/Ret

Campus, IL · On-site

$47K - $64K/yr

Alysse Loomis, the postdoctoral fellow will contribute to several ongoing studies and evaluations ... Engage in statewide and national learning networks (e.g., National Child Traumatic Stress ...

University of Utah

Post Doc Fellow w/Ret

Campus, IL · On-site

$47K - $64K/yr

Alysse Loomis, the postdoctoral fellow will contribute to several ongoing studies and evaluations ... Engage in statewide and national learning networks (e.g., National Child Traumatic Stress ...

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Postdoctoral Fellow Machine Learning information

What is a postdoctoral fellow in machine learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a postdoctoral fellow in machine learning?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by postdoctoral fellows in machine learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Illinois? For Postdoctoral Fellow Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Illinois look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Postdoctoral Fellow Machine Learning jobs? Cities in Illinois with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

Postdoctoral Fellow

Meharry Medical College

Campus, IL

$47K - $64K/yr

Full-time

Re-posted 15 days ago

Job description

The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Fellow will work closely with the PI on collaborative, interdisciplinary projects and contribute to student training, while advancing Meharry's mission in biomedical research and workforce development. The position provides access to state-of-the-art computational infrastructure and offers opportunities for career development, publications, and grant participation..

Essential Functions (Principal Duties and Job Responsibilities):

  • Computational and statistical analysis of genomic and biomedical data (40%)
  • Development of AI/ML methods and bioinformatics pipelines (30%)
  • Manuscript preparation, presentations, and grant support (20%)
  • Mentoring and training students (10%)

Knowledge, Skills and Abilities Required:

  • Solid computing background or data experience, e.g., high-performance computing and machine learning.
  • Proficiency in Python, R, or related programming languages for data analysis and scientific computing.
  • A good understanding of genetics or molecular biology is a plus, but not required.

Knowledge, Skills, Abilities Preferred:

  • A computing background is preferred

Education and Experience Required:

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline.

Education and Experience Preferred:

  • Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical data science is preferred.

Equal Employment Opportunity Statement

Meharry Medical College complies with Title IX and is an affirmative action employer. Candidates will be considered for employment without discrimination for an non-merit reason such as race, color, national origin, sex, religion, age, handicap or veteran status.

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