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, mammalian cell culture, transfection, gene silencing, lentiviral infection for gene silencing and overexpression, and animal studies using xenograft, syngeneic, and PDOX models assessing the effects of drugs
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of Virginia (UVA) School of Medicine is seeking to fill Postdoctoral Researcher positions in computational biology and machine learning. The lab develops modern machine learning, generative modeling, and
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scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy. Maintain the laboratory work areas including routine maintenance on laboratory
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use drugs. The job entails field work and data analysis components. A successful candidate will be responsible assisting Dr. Heimer in organizing community-based drug checking in five Connecticut
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September 1, 2026, or as mutually agreed and subject to completion of the University hiring process. Position Duties 80% Research Develop analytical, computational, and reduced-order models for problems in
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intracellular bacteria that cause emerging zoonoses. The candidates will utilize in vitro and in vivo experimental models (e.g. ticks and mice) to study novel Type IV secretion effectors and other bacterial
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. The ideal candidate will have experience in forest economics and policy, as well as applied econometric modeling. ABD candidates will not be considered. Desired Qualifications The ideal candidate
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
) defining imaging predictors of domain-specific cognitive, motor, and behavioral symptoms; and (3) developing a spatiotemporal model to map individualized disease progression. This is a prospective, multi