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of microbiology, chemical biology, biochemistry, and biophysics, with a strong focus on antibacterial discovery and mechanistic studies of bacterial physiology. Our research is driven by the urgent need
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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application to [email protected](link sends e-mail) with the subject line “SCENE Postdoc Application – [Your Last Name]. Does this position pay above the required minimum?: No. The expected base
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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
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populations. A user study assessing instructional coach efficiency and fidelity with and without AI support The postdoc will lead the design and execution of a study evaluating the use of their modeling
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highly creative and motivated scientists with a background in immunology, bioinformatics, and/or expertise in microbiome/metabolome studies. The breath of the lab’s interests are wide. We have teams
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training and will collaborate with PhD students, postdoctoral scholars, faculty, research staff, and external partners. Stanford collaborators include HAI, the Stanford Technology, Impact, and Policy Center
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the Basic Science and Engineering (BASE) Initiative of the Children's Heart Center at Stanford University and the Department of Genetics to work on understanding mechanisms of pulmonary arterial hypertension
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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