282 programming-"Multiple"-"U"-"U.S"-"Prof"-"Washington-University-in-St" positions at Harvard University
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responsibilities include: Collaborating with faculty and staff to ensure alignment of tools to curricular needs in FAS programs and departments and with other stakeholders. Partnering closely with instructors in
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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, treatment selection, power analysis, analysis of attrition and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming
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Wellness Retirement Tuition Assistance Program Tuition Reimbursement Professional Development Commuting and Transportation Harvard Facilities Access, Discounts and Perks Department Office Location USA - MA
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(https://hr.harvard.edu/totalrewards ) to learn more about our outstanding benefits package, which may include: Paid Time Off Health and Welfare Work/Life and Wellness Retirement Tuition Assistance Program
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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Description The Davis Center for Russian and Eurasian Studies’ Visiting Scholar Program offers comprehensive research, training and professional development opportunities for both junior and senior scholars
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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud