443 computer-programmer-"https:"-"FEMTO-ST"-"CEA-Saclay" "https:" "https:" "https:" "https:" positions at Harvard University
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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physics, biology, economics, computer science, AI, statistics, and other disciplines Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/03, listed until 2025/11/15) Application Description: Apply
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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 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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research associates to develop and apply theoretical and computational approaches to study complex cell biological systems. The emphasis will be on combining statistical inferences and biophysical modeling
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological
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. Positions are available for recent Chemistry, Physics, Electrical Engineering, Biophysics and Computer Science Ph.D.’s who are interested to work in synthetic artificial biochemistry-free life mimics (life
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at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology, or related areas Hands-on experience with or a strong interest in bioinformatics programming, including
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text