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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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at the school. A full job description is available at https://web.mit.edu/sloan-hr/jobs/AreasSrAAEFA.pdf REQUIRED: High School education or equivalent; a minimum of five years of administrative, office, or
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staff position within a Research Infrastructure? No Offer Description ELLIS Institute Finland, a newly established world-class research hub in AI and machine learning, invites applications for Principal
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predictive modelling; Bioinformatics and Knowledge Graphs (visualization and reporting); AI-based data integration across cohorts (with federated machine learning); Contribute to ongoing projects, such as: o
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a safe, organized, and inclusive learning environment by assisting faculty with studio maintenance, supporting open lab hours, coordinating materials and supplies, and providing guidance to students
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spending accounts and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary
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of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a Professorship for Machine Learning (open rank: W2 or W1 with tenure track to W2
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genome-resolved multi-Omics methods, statistical/metabolic modeling, and machine learning. The postdoc will apply these approaches to generate a systems-level understanding of microbiomes including
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combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. It is working to make records of these sites openly available in an Arches