51 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O" positions at Harvard University
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social science research projects preferred. Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred
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Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more
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Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic background, and a summary of your proposed research project • Research
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experience in program or project management required. Prior work experience in government, public sector consulting, public policy, nonprofits, and/or philanthropy required. Additional Qualifications and
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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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and contribute to open-source software. Conduct an ongoing technology and research watch in areas pertinent to IDI’s focus, including: generative AI, natural language processing, digital preservation
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, writing, and fine-tuning code for structural model simulation, with a focus on computational performance. Most of the code will use the Julia programming language • Non-linear estimation and other
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories