102 phd-mathematical-modelling-population-modelling Fellowship positions at Harvard University
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which
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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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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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allowance, as described below. Award Project Period Individuals may receive up to 5 years of aggregate Kirschstein-NRSA support at the predoctoral level (up to 6 years for dual degree training, e.g., MD/PhD
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their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include private sector initiatives aimed
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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text-to-image models are or are not changing competition and cooperation along global supply chains, and how we can historicize these developments in relation to older forms of translation and