433 computer-programmer-"https:"-"https:"-"https:"-"IRIBHM-ULB" positions at Harvard University
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an outstanding academic record and strong communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. Working Conditions: Research laboratory, computer
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Qualifications and Skills: Bachelor's degree Experience in computer programming, Excel, Access, basic data analysis Experience working with human samples and DNA/RNA Extraction Experience with Excel, Redcap
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multiple vendors and small capital/expense projects; Superior relationship management skills; Ability to function effectively in a fast-paced, demanding work environment; Computer proficiency with MS Office
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are looking for people who are/have: Strong computer and analytical skills including extensive prior experience with Excel, and knowledge of PowerPoint and Word Highly organized and detail oriented with strong
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful applicant will be
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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in computational social science to lead the technical design and analysis for a new research project examining how individuals navigate the online environment, starting with voter registration and
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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
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral