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, San Francisco, California. Please only apply if you can teach in person at this location. Teach Applied Investing to the Next Generation of Finance Leaders We are seeking a practitioner-oriented Ph.D
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http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper second 2(i) in
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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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, beginning July 1, 2026. We seek specialists in global contemporary art history whose teaching and research reflect transnational perspectives on art since 1945. The successful candidate will teach
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July 1, 2026. We seek candidates with a specialization in anthropological archaeology who could teach courses at the introductory level, in topical areas, and more advanced archaeological method and
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their experience in teaching or working with broadly diverse student populations while contributing to a vibrant learning community that values academic freedom, creativity, and intellectual curiosity
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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programs in elementary, secondary, and special education, and a doctoral program with multiple specializations. To learn more about the SOE, please visit http://education.ucr.edu . Teaching Responsibilities
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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doesn’t match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks