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benefits: Competitive and commensurate with experience; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer
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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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experimental and computational approaches to understand neural and environmental predictors of language development. The scholar will be able to develop their own ideas as well as build upon our ongoing work
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processing, statistical computation, methods development, data interpretation, literature review and manuscript/grant preparation. Additional Duties:• Supervision of undergraduates, graduate students and new
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of the transformation science and sustainability transitions literatures to help advance the intellectual core of the Transformation Science Program. About the Transformation Science Program The Transformation Science
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ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
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, the molecular and placental mechanisms underlying its protective effects remain poorly understood. In this translational research project, Dr Yoel Sadovsky (MD, biologist) and Dr Ivana Maric (PhD, data scientist
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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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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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program on youth violence and injury prevention, and to develop the career and scholarly interests of the Fellow. Developing the research program will include supporting the team with quantitative