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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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projects may include: - Completing the first public version of the Digital Atlas of Tokugawa Japan or building new capabilities on top of it. - Building a Digital Atlas of Meiji Japan based on
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related
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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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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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. Studies incorporate approaches in both primary human immune cells and in vivo mouse intestinal model systems. Education and experience: Candidates must have a PhD or equivalent degree with a strong
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from clinical research to molecular studies in mouse models of disease. Training/Mentoring: The postdoctoral associate will have the opportunity to gain experience with in clinical and basic research
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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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applications in python with PyTorch/Huggingface/SpaCy, applications of computer vision and signal processing in Tensorflow or PyTorch, Llama and GPT models. Essential Duties Develop and execute new and/or highly