96 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Stanford University
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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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, we invite scientists with a strong background in physics, computational neuroscience, engineering, applied math, systems biology, or other relevant quantitative fields. Previous experience in
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are an interdisciplinary team spanning engineering, neuroscience, developmental biology, genetics, applied math, and physics — united by curiosity and a drive to understand how the brain coordinates whole-body physiology
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features. Using our recently developed chromosome engineering approach, we have created isogenic stem cell lines that allow us to precisely isolate the effects of the chromosomal abnormality from other
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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
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., mechanical engineering, materials science, chemical engineering, electrical engineering, environmental engineering, computer science). About the group: Group alumni and their current positions (link is
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at international conferences. (5) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular
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Information Science Physics Quantum Condensed Matter Theory Quantum Computing Electrical Engineering Appl Deadline: 2025/11/01 11:59PM Description: Apply Description The Stanford-SLAC Quantum Initiative, Q-FARM
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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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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