72 software-formal-method-phd Fellowship positions at Harvard University in United States
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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—will be essential to the success of these endeavors. Contributions to scientific knowledge may include formal outcome evaluations of innovative services, as well as more basic research that will
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods
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Qualifications: Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in biology. Additional Qualifications: Previous research experience related to biology
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economic recession and recovery . Much of the team’s ongoing research uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples
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: 13690 School: Faculty of Arts and Sciences Department/Area: Molecular and Cellular Biology/Applied Physics/SEAS Position Description: Our lab is developing a series of cutting-edge methods to visualize
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training experience will provide: A strong foundation in research design, methods, and analytic techniques appropriate to the proposed research; An enhanced ability to conceptualize and think through