665 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" positions at Harvard University
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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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, materials development, and overall support of students’ short- and long-term career goals. Plan, develop, and implement large and small-scale programming and workshops. Collect and analyze student recruitment
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), reporting to ORA, and working directly with the Department of Biomedical Informatics (DBMI). The SRPA will provide outstanding customer service and work closely with DBMI’s senior and junior faculty, staff
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to handle complex and confidential information with discretion. Competency using a variety of computer software. Position requires advanced knowledge of word processing, spreadsheets, and/or databases
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, 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 studies. Leading
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communications and plan, coordinate, and execute FAD-wide Town Halls and other key communications initiatives. Lead the planning and execution of organization-wide employee engagement and recognition programs and
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, Computer Science or a directly related field Additional Qualifications: The successful applicant will be expected to have a solid technical background, research experiences showing independence and innovation, and
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of the University-wide Barrier Removal Framework Plan, driving multi-year, campus-wide strategies to identify, prioritize, and remove physical accessibility barriers. The position provides expert guidance to planners
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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