97 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Stanford University
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic
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in stem cell and regenerative biology, neuroscience, and translational hearing research. These positions are supported by a funded California Institute for Regenerative Medicine (CIRM) grant focused
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activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter describing your background, programming experience, and research interests
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the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science
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breakthrough or develop a transformative innovation or tool that can form the foundation of an independent research career/program in academia or industry. Required Qualifications: PhD in a quantitative life
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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shape new directions within the research program. Responsibilities: Design, fabricate, and characterize novel van der Waals heterostructure devices using Stanford’s nanofabrication facilities. Perform
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career/program in academia or industry. Required Qualifications: PhD in a relevant field Required Application Materials: CV Brief description of research interests and career goals Stanford is an equal
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology