177 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Harvard University
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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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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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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
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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to support the position. Basic Qualifications Bachelor’s degree in statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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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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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis