77 parallel-and-distributed-computing "CERN" Postdoctoral positions at Stanford University
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program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
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Pancreas Program seeks an exceptional Postdoctoral Scholar to lead hypothesis driven mechanistic research focused on how vitamin A signaling and transport regulate inflammation, tissue injury, and recovery
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Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep learning computer vision models to classify mosquito breeding habitat on very high-resolution
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the Woods Institute for the Environment, invites applications for a Postdoctoral Scholar in Wastewater Metagenomics and Computational Biology WastewaterSCAN is a national infectious disease monitoring
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computational biology and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using
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computational analysis of large-scale pharmacogenomic datasets. The lab maintains active collaborations with medicinal chemists, structural biologists, and clinical oncologists at Stanford and elsewhere
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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active
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Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Medicine, Center for Digital Health Postdoc
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and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly
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-omics discovery. The fellow will help develop and apply computational approaches to study heart failure mechanisms and therapeutic targets using large-scale human datasets, including cardiovascular