165 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"https:" positions at Harvard University
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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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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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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candidates with a record of innovative work, a clear vision for an original and impactful research program, and an interest in collaborating across multiple disciplines within the University, which is
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for constructing, maintaining, and contextualizing biomedical knowledge graphs by reviewing recent academic literature and attending lab seminars, 2) Develop prototype implementations of systems, receiving feedback
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that provide preparation for graduate school or other industry research positions, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In
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on College and University committees to represent the undergraduate experience. Faculty Deans generally agree that the ability to develop an esprit de corps among tutors and staff toward a common goal of
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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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of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
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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