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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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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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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
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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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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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the Digital Atlas, this project will be highly resolved in space and take novel approaches to modeling uncertainty. It will use and potentially expand a large collection of data compiled by Fabian Drixler and
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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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/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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. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in