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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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expected to develop a strong, grant-funded research program. Faculty members also are expected to participate in one or more of UCSF's 15 PhD programs in basic and biomedical sciences, including teaching
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such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher
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academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. We are a welcoming, international lab group, with current and past students from China, USA, Thailand, South
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Colleges of Fenway - Wentworth Institute of Technology | Boston, Massachusetts | United States | about 13 hours ago
value undergraduate teaching, applied learning, and the role of economics within a polytechnic education. Qualifications: Required: PhD in Economics or a closely related field, completed at time of
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to education environments. One such innovation is Terracotta (https://terracotta.education ), a plugin to the learning management system that makes it easy to conduct experimental research studies in real course
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Apply Now How to Apply As a single PDF document, please submit the following materials to Interfolio (https://apply.interfolio.com/183658 ): A cover letter that addresses your specific interest in
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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students currently pursuing a PhD in computer science, mathematics, physics, or statistics. At Jane Street, we take a rigorous, quantitative approach to trading on global markets, combining techniques from