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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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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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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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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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devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts
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, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Minimum Number
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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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of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using the frames of social medicine. Fellows will be mentored to pursue the next phase of
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, and how brains acquire heritable adaptations for complex, learned behaviors. Comparisons between modern humans and our living primate relatives provide a way to address this question in the context
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, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions or other protected status. Minimum Number of References Required 2 Maximum