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Boston, Massachusetts, Phd Program Administrator, Computer Science Job Description Phd Program Administrator, Computer Science Category Charles River Campus --> Professional Job Location Boston, MA
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. Experience studying technological change, organizational design, or human-AI collaboration is particularly relevant. Computer Science and HCI : PhD in Computer Science, Human-Computer Interaction, Information
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. Experience studying technological change, organizational design, or human-AI collaboration is particularly relevant. Computer Science and HCI : PhD in Computer Science, Human-Computer Interaction
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lab different from where they did their PhD research. Basic Qualifications Ph.D. in quantum science and engineering field, including but not limited to Physics, Chemistry, Mathematics, Computer Science
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involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse across the world. Basic Qualifications: Ph.D. in Statistics, Computer Science
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wide range of 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
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substance abuse across the world. Basic Qualifications Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required. The appointment will be
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defer and do a one-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful
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Junior Research Scientist in the Division of Engineering (Electrical and <b>Computer</b> Engineering) Abu Dhabi, United Arab Emirates HIIT: Postdoctoral Fellow positions in <b>Computer</b> <b>Science</b> Finland (FI) CUS - Postdoctoral Researcher Specialized in Electronics and Embedded Systems...
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Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras