1,055 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" Fellowship research jobs in United States
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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to program development, impact measurement, and continuous improvement in academic environments. Awareness of emerging trends in pedagogy and their implications for student learning and faculty development
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Apply Now How to Apply Please send a CV and research summary to tcernak@umich.edu Job Summary We are seeking a highly skilled computational expert to enhance our laboratory's capabilities in
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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Details Title Postdoctoral Fellow in Soft Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Wood Lab is seeking a postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable...
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Qualifications Master’s degree from a recognized graduate art conservation education program, with a demonstrated concentration in photograph or paper conservation, or equivalent combination of education and
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and