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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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tremendous impact on the Hoosier state and around the world. To learn more about the Department of Surgery, please click on this link: https://medicine.iu.edu/surgery . Indiana University School of Medicine
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appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf A reasonable estimate
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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understanding, anticipating, and managing risks posed by harmful algae to seafood production, public health, and consumer confidence. The successful applicant will have a PhD and demonstrated expertise in seafood
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, PhD. Where to apply Website https://iventajobdata.eu/bestmedia/img/2246529/1897720/cl/5a6cd31a7e69fd392d6a4… Requirements Specific Requirements Your personal sphere of play: Your future position is
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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internationally competitive PhD thesis in your designated field. Publish in high-impact, peer-reviewed journals and present your research at international conferences. Design and teach university courses and
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in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 3 months ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance