109 parallel-computing-numerical-methods-"Prof" Fellowship positions at Harvard University in United States
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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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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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Supporting Dental, Oral, and Craniofacial Research Using Bioinformatic, Computational, and Data Science Approaches. See Notice NOT-DE-20-006 . April 1, 2020 - Notice of Special Interest: Developmentally
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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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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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the unusual bdelloid life history (Signorovitch et al. 2015. Genetics 200: 581-590). Basic Qualifications Candidates must be proficient in advanced bioinformatic methods of sequence assembly and analysis