110 parallel-programming "Intelligent Systems Group" Postdoctoral positions at Yale University
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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Appointment Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical
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, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ (Link is external) Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been based at Yale
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. Strong programming and data analysis skills in Python and PyTorch; solid software engineering habits (git, testing, reproducibility). Demonstrated research independence with one or more first-author
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the ability to collaborate, communicate, self-motivate, and manage multiple projects effectively. Mentoring: The candidate will receive mentoring from Professor Mushfiq Mobarak, through group and 1:1
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Denmark, as well as with US MarketScan data and Yale electronic healthcare data. The research partners include the Yale Pharmacoepidemiology Working Group (Yale PEW) and the Practical Causal
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Ishizuka Lab is a research group within Yale School of Medicine (Departments of Internal Medicine [Oncology], Immunobiology, and Pathology) focused on identifying novel mechanisms of tumor inflammation and
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participate in: Weekly project group meeting, monthly lab meetings, and data science forums Departmental seminars and Neurology Grand Rounds Cross-institutional collaborations (Yale, Harvard, international
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healthcare data. The research partners include the Yale Pharmacoepidemiology Working Group (Yale PEW) and the Practical Causal Inference (PCI) lab at UCLA. Qualifications Candidates should possess a PhD