19 phd-computer-architecture Postdoctoral positions at University of Southern California in United States
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neuromodulation The ideal candidate should have a PhD in Physics, Biophysics, Biomedical Engineering, Computer Science, Neuroscience or related fields. Prior research experience (publications and programming skills
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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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finishing PhD programs in economics, public policy, or other quantitative social science fields. During their training, the Postdoctoral Scholar will be expected to publish first-authored manuscripts
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date: Flexible. Candidates must have a PhD or an equivalent experience in bio/audio engineering, neuroscience, or a related area. Key requirements are experience with electrophysiological recordings
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Qualifications : Preferred Education: PhD in biological science field. Preferred Experience: Experience in molecular biology, cell biology, biochemistry, immunology, pathology, cancer biology, bioinformatics
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Qualifications : Preferred Education: PhD in biological science field. Preferred Experience: Experience in molecular biology, cell biology, biochemistry, immunology, pathology, cancer biology, bioinformatics
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of human medical and population genetics. In particular, we have a strong interest in using genomic data to understand the evolution and architecture of complex traits and the history of diverse human
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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing
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Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics
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, information processing, computing, cybersecurity, and communications technologies. ISI’s 400 faculty, professional staff and graduate students carry out extraordinary information sciences research at three