424 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Harvard University
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. Application Requirements Applications must include the following, or they will be considered incomplete: Resume Cover letter including: A link to a piece of code on GitHub that you wrote, ideally something
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research experience in psychology, social/political science, communications, economics, computer science, data science, statistics, or related field Excellent data analysis and coding abilities, including
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inquiry. Application Requirements Applications must include the following, or they will be considered incomplete: Resume Cover letter including: A link to a piece of code on GitHub that you wrote, ideally
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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-coding RNAs in neurophysiology and neurodevelopmental disorders. Basic Qualifications Applicants must have recently obtained a Ph.D. in a relevant field and demonstrated research productivity through peer
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standards of reproducible code are kept. Job-Specific Responsibilities: Lead analytic development across several ongoing clinical research initiatives and enrich research productivity and reliability
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code as designated by HUDS. Additional Qualifications and Skills: ServSafe certification within first year of employment. Previous experience in a University environment preferred. Ability to work
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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environment. Must observe and comply with all standard safety codes and practices and perform work in accordance with recognized industry and university standards. May be assigned to work independently or as
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members focused on a variety of research methodologies, such as: experimental design, analysis, coding, IRB, and data analysis in topics ranging from digital reskilling to marketing focused research in