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postdoctoral researcher will leverage state-of-the-art protein language models (PLMs) and advanced AI-based structural modeling techniques to design and optimize T and B cell receptors (TCRs and BCRs). The work
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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postdoctoral position at the interface of decision analytic modeling, pharmacoepidemiology and clinical hematology-oncology within the Section of Medical Oncology and Hematology, Department of Internal Medicine
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animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience
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for functional neuroimaging such as connectome-based predictive modeling. They will also receive training in the clinical neuroscience of preclinical and early-stage disease and in heterogenous Alzheimer’s and
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regulating pregnancy outcome, including those complicated by infections and by autoimmune diseases. The lab uses basic and translational approaches; primarily in human models systems and samples, but also
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single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
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: Assisting the research team in handling data produced from quantitative and qualitative approaches Creating analytic databases Developing analytical models under the guidance of the Investigators and the
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the cell intrinsic immune machinery and DNA damage and repair processes using in vitro cell models, genetic screens (such as CRISPR and RNA interference), and animal models. We have a strong translational
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@yale.edu Description: We are seeking highly motivated individuals to join the laboratory of Dr. Samir Zaidi opening 3/1/2025. Our laboratory is based within the Center of Molecular and Cellular Oncology