140 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Harvard University
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include private sector initiatives aimed
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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approaches such as digital technology or task-sharing for scale-up of proven interventions. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those
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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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, including research areas covered by the Euratom Research and Training Programme. Researchers interested in PFs should have a PhD degree at the time of the deadline for applications. Applicants who have
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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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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In