18 web-programmer-developer-"INSERM" Postdoctoral research jobs at Harvard University
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The Postdoctoral Diversity Enrichment Program (PDEP) provides $60,000 over three years to support the career development activities and success of underrepresented postdoctoral fellows in a degree
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graduate schools. Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions. Professional Development
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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. Successful candidates will be expected to contribute to technique development/material synthesis, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate
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, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate students, prepare and submit peer-reviewed journal articles, and present their work at meetings
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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strong research program in astrophysics and provides a stimulating environment. Women and minorities are strongly encouraged to apply. AAE/EOE. Special Instructions Letters of reference should be submitted
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School: Faculty of Arts and Sciences Department/Area: Chemistry and Chemical Biology Position Description: The Cohen Lab invites applications for a Postdoctoral Fellow position. The Cohen Lab develops and
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invites applications for a Postdoctoral Fellow position. The Cohen Lab develops and applies new tools to study biology. We push the limits of physics and chemistry to make measurements in previously
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis