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materials, and evaluate EMI-shielding and real-application performance. Prepare reports, deliverables, and presentations for project meetings and milestones, and mentor PhD students. Job Requirements: Possess
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab) School Harvard Medical School Department/Area Position Description Our Lab Join our team of researchers, engineers, and
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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PhD in Neuroscience, Computer Science, or a related discipline, preferably with expertise in computational and wet-lab neuroscience. The post is available for 36 months starting December 1st, 2026
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worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term contract Fixed Term Period: For 18 months Research Assistant (if PhD close to completion): Full time starting salary
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. About You Completion or near completion of a PhD in the fields of chemistry, chemical engineering, materials engineering, physics or similar field; Demonstrated expertise in fabrication and
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | 2 months ago
to therapeutic discovery You bring PhD in computer science, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience
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skills, backgrounds, and interests spanning these topics. We are looking for a postdoctoral fellow with a PhD degree in Genetics, Statistics, Computer Science, Applied Math or related fields relevant