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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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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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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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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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sets up his new lab at Harvard. For further information, please contact xie@seas.harvard.edu. Basic Qualifications PhD in electrical and computer engineering, mechanical engineering, materials science
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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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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must demonstrate strong analytical and numerical skills. Additional Qualifications Special
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Quick Links: Program Description | Application | Funding | Eligibility | Terms of the Award | Confidentiality Agreements | Reporting | Publications | Forms for Awardees | Application
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Questions Get answers to applicants’ frequently asked questions, from eligibility to the review process, categorized by each disease program. Read FAQs Guidelines From file type and size to formatting