167 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:" positions at Harvard University
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standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across cryo-EM
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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and
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to appoint one or more postdoctoral fellows beginning in November/December 2025. We are looking for candidates with interests in the use of atomic cavities and atomic arrays for quantum computing. Candidates
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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
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history that has taken place largely in Pakistan, and plan to return to Pakistan upon completion of the fellowship. Basic Qualifications Applicants must hold a PhD. Additional Qualifications Special
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organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Special
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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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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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling