595 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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; Ability to function effectively in a fast-paced, demanding work environment; Computer proficiency with MS Office, Computerized Maintenance Management Systems (CMMS), Building Automation Systems (BAS
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samples using standard cross-dating procedures to determine data quality. Perform intensive microscopic or similar sample analysis in the laboratory to collect sample data with a high degree of skill and
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experiential learning etc. Support SLATE team in helping faculty leverage technology tools, including teaching with AI. Design and conduct course assistant trainings, workshops, and practice teaching sessions
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Foundations of Organizational Ombuds course and/or an equivalent required, either completed or in process. Demonstrated experience in designing (including relevant computer skills) and conducting conflict
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of how product data is used throughout the supply chain. The aptitude and drive to seek automated solutions and deploy new technology to strengthen process and improve efficiency. Demonstrated
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Details Title Accelerating the EV Transition Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Salata Institute for Climate and Sustainability Position Description The Salata
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related social science field using quantitative methods strongly preferred. Experience in working with K-12 and postsecondary data sets. Practical experience with a variety of research methods, such as
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Details Title Postdoctoral Research Fellow School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Department Position Description The Segel Lab invites applications
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satisfaction surveys, the team measures impact by assessing how ideas are adopted in practice. It also leads recruitment of mayors into the Center’s Program for New Mayors and the Bloomberg Harvard City
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electrophysiological data analysis, while contributing to impactful translational research. Key Responsibilities Support the design and execution of a clinical trial focused on muscle-driven robotic technologies. Assist