173 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" Fellowship positions at Harvard University
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treatment-control interference; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis
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to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming/scripting knowledge suitable for processing raw data
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Asian context. Applications will be collected via ARIeS and will contain: A five-page, double-spaced research plan. An updated and current curriculum vitae, which lists your academic degrees (including
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Native American Program, and in collaboration with regional and national Indigenous community partners, the fellow will assume mentored responsibility for: (1) advancing research projects, analyzing
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis