50 coding-"https:"-"FEMTO-ST"-"CSIC"-"https:"-"https:"-"https:"-"https:" positions at Harvard University in United States
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practices, industry standards, codes/jurisdictional authorities, and University guidelines/practices. Must maintain work area, tools and equipment in accordance with University standards/practices. Required
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Eligibility: Applicants must hold an active grant in one of the activity codes listed below, and the research proposed in the supplement must be accomplished within the competitive segment of the active award
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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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to, the following: Data Analysis and Programming Develop study questions and analytic approach (including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly
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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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, 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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; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May
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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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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