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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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intentions and career plan. This document must be composed of three sections: 3.1) Background: Expertise and skills gained. 3.2) Research Interests: Research intentions and goals for the postdoctoral role and
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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Ability for analytical thinking Knowledge of R, SAS or similar programming environments Specific duties will include: Research within ongoing projects and development of new project ideas Collaboration with
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. Experience with molecular biology, neuroanatomy and mouse behavior. 5. Experience with programming in languages including Python, R, MATLAB is highly desired.
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
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. Postdoc will also help finalize a project in protein language modeling. In the healthcare domain, the primary project will be to develop an autonomous clinical AI agent for the diagnosis and management
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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a fast-paced research environment. Strong written English skills, demonstrated through prior research publications. Application Instructions Cover letter describing your research interests and
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, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required. Experience in analysis of genomis /trancriptomic /epigenomic data including