100 computer-science-phd Postdoctoral positions at Stanford University in Ireland-University-Ranking-2024
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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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and/or related fields including genetic epidemiology, human genetics, biostatistics, bioinformatics, computational biology, or phenomics (including EHR, deep medical imaging, and biomarker profiling
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partners in genomics, cancer biology, and clinical research, providing opportunities to work with diverse biological systems and translational applications. Required Qualifications: PhD in bioengineering
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sends e-mail) ) Required Qualifications: PhD completed by the appointment start date in computer science, data science, human-computer interaction, psychology, sociology, political science, communication
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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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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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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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can be used to target them. The Sheltzer Lab leverages approaches from functional genomics, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies
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, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies. Potential research directions include identifying biomarkers of sensitivity and resistance to anti
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data