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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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: We would like to recruit a postdoctoral fellow in cancer outcomes research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have
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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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/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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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
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research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have strong quantitative skills and an interest in applying modeling
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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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the Pytorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu. More information of the
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positions) in the areas of privacy-preserving health data sharing, AI modeling and evaluation of medical and biological applications. The Postdoctoral Associate will be responsible for co-developing and