110 web-programmer-developer-"https:"-"https:"-"https:"-"UCL" Fellowship positions at Harvard University in United States
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of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged to communicate
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elucidate Indigenous experiences and understandings of health, healing, and well-being. In sum, the signature contribution of this activity entails the reflective, collaborative, and documented development
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, 2026. Contact Information Sandy Cantave Vil cantave@fas.harvard.edu Program Coordinator Center for Jewish Studies at Harvard University 6 Divinity Ave, Suite 210 Cambridge, MA 02138 (617) 495-4326
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application by January 15, 2026. All application materials must be in English. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic
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to characterize the energetic costs of the brain across human development (recently shown to account for 66% of resting expenditure in childhood). Eventual uses include characterizing individual and population
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial
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and professional development funding will be available. The aim of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using
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health care access and outcomes. In collaboration with community-based and other clinical organizations, department faculty apply these understandings to develop and evaluate interventions that improve
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part of an interdisciplinary research team dedicated to advancing management science, the fellows will develop novel quantitative methods at the interface of statistical learning, experimental design