411 computer-science-programming-languages-"U.S"-"U.S" positions at Harvard University
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Details Title Postdoctoral Fellow in Atmospheric Chemistry Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Environmental Science and Engineering
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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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credited to the Yang Visiting Scholars Program in World Christianity at Harvard Divinity School. Eligibility Positions are open to early career and senior scholars with doctorates in the fields of religion
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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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Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information
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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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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
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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