21 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Cornell University
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participate in cross-disciplinary research and development projects related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate
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, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science
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N Efficiency Genomic Informatics Post-Doctoral Associate Postdoctoral Associate, Buckler/Romay Lab Cornell Institute of Biotechnology Cornell Research and Innovation The Buckler/Romay Lab
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for a candidate with a PhD degree (or completion expected within 2-3 months) in Civil/Environmental Engineering, Environmental Science, or a related field, preferably with expertise in large-scale
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York 14853, United States of America [map ] Subject Areas: Genomics / Plant Genetics / Quantitative Bioinformatics Computational Biology Appl Deadline: none Position Description: Apply Position
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of Prof. Ariel Ortiz-Bobea (Dyson) and in coordination with Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource
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of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate
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of Biological and Environmental Engineering at Cornell University is looking for postdoctoral associate to support, lead and invent projects at the intersection of sustainable energy, synthetic biology, physics
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Impacts for Technology Adoption and Program Engagement in Bangladesh ) project is seeking a postdoctoral fellow who will be housed in the Dyson School of Applied Economics and Management and Department
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with