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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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interface that interacts with a DL model and/or LLM at the backend; (c) explore and recommend new AI technologies; (d) compile presentation materials and write reports; and (e) perform any other
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agency materials. Assists in preparing presentations for the Board of Trustees and Finance Committee including helping to develop new reporting models Use the University’s Treasury Management system
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scientific leaders and researchers. We are seeking a Research Fellow to contribute to collaborative projects on shape-morphing materials and applications to adaptive aeronautics. Key Responsibilities
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Developer I, under direction, develops and maintains code and workflows that support ecological modeling and analysis, working closely with scientists and end-users to ensure code quality, usability, and
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this knowledge in areas such as energy and materials research. The successful candidate will join a research group with a strong international profile and active collaborations at leading research facilities
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, Rutgers University. These positions are funded by research grants from the National Institutes of Health (NIH). Dr. Zhu’s research team focuses on modeling studies of small-molecule drugs, nanomaterials
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would be supporting the use of a subsonic wind tunnel and smaller ones specifically modelling airflow over a wing surface. In the material support area, you would be using equipment to determine the
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 8 days ago
Information Additional comments The employee will perform the following tasks as part of the research project: Conducting in vitro and in vivo immuno-oncology studies focused on liver cancer models, including
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; supporting model training, evaluation, benchmarking, validation, analysis, and deployment-related workflows; working with health, biological, chemical, molecular, materials, and other scientific datasets