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The Kleinstein Lab (Program in Computational Biology and Biomedical Informatics) is seeking a highly motivated researcher in computational immunology to work in close collaboration with the Yildirim
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for Environmental Genomics (http://ieg.ou.edu/ ), led by Dr. Jizhong Zhou, has state-of-the-art facilities for the study of microbial functional genomics, microbial ecology, metagenomics, mathematical modeling, and
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with all institutional training and code of conduct. Ability to work independently based on experience. Knowledge of molecular dynamics simulation and mathematical modeling. Qualifications REQUIRED
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Research Associate Vacancy ID PDS004395 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Proposed Start Date 07
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motivated researcher willing to work as part of a team. Good communication skills and an appropriate publication record are essential. General tasks will involve scientific research; analysis and
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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, foundation models, vision-language models, and computer vision for various problems relating to scientific discovery. Work in interdisciplinary collaborations with subject matter experts on various aspects
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-4-fold by both TGFb1, and/or HFD feeding) suggesting that Pcpe2 may play a role in TGFb-like signaling pathways in VAT PCs. We are looking for a creative post doctoral fellow who will assist in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
. The ideal candidate has research background and interests in one or more of the following areas: optimal transport (mathematical theory, computational analysis, machine learning applications), approximation
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar