154 computer-science-programming-languages-"Prof.-Dr"-"Prof" Fellowship positions at Harvard University
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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to apply, provided their studies advance, facilitate, and promote programs in and for the public benefit of India. The fellowship is open to a diverse range of fields, including but not limited to science
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In the late 1970s, biologists were founding and leading companies whose goal was to apply modern biological research technology to the solution of important problems in society. While academic and
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
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example, you may apply to a master’s program within the broad field of biology — such as biochemistry, biotechnology, or bioengineering — but you may not apply for both a master’s and a doctorate program in
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, computer science, engineering, or related fields. Experience in relevant research topics is a plus but not required. Contact Information: Andrea Henderson Contact Email: amhenderson@seas.harvard.edu Special
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Details Title Postdoctoral Fellow in Materials Science & Mechanical Engineering - Microelectronics and Soft Materials School Harvard John A. Paulson School of Engineering and Applied Sciences
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our Advanced Research Concepts initiative . During the topic ideation process, Fellows work with program managers and other DARPA experts who serve as internal sounding boards. They engage closely with
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be