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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented
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! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success. At the base of the Rocky Mountains, Colorado Springs is
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 7 days ago
Harold C. Simmons Comprehensive Cancer Center Vice Chair of Innovation and Translation Department of Dermatology University of Texas Southwestern Dallas, Texas Position Overview The Choi Laboratory is
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candidates from all backgrounds to join our community. The Department of Design is s a community of creative and responsible researchers and design experts. We educate front-line design professionals and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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COMPENSATION The hiring range for this position is expected to be: $78,000-$83,000 BENEFITS AND PERKS A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 401(a) and 403(b
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, legal materials, financial information and policy reports. The role will include designing and evaluating machine learning models, developing experimental studies, analysing research findings, and
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studies how the infant brain learns about the social world and how early-life experience shapes neural circuits with long-term consequences for learning, attachment, and mental health. Our work focuses on