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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
experience with a modern deep-learning framework such as PyTorch or TensorFlow. Experience developing, training, and evaluating machine-learning models using complex biomedical, imaging, or other high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
experience with a modern deep-learning framework such as PyTorch or TensorFlow. Experience developing, training, and evaluating machine-learning models using complex biomedical, imaging, or other high
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
, and knowledge from across the humanities and social sciences. In doing so it also offers fresh frameworks of thinking for the humanities and social sciences, and works to develop the modern, integrated
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collaboration within the research team, candidates are expected to be excellent team players. You also have excellent written and spoken English skills and good general communicational skills. We highly encourage
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The newly established Chair of Data-Driven Simulation and Analysis in Materials Science (Prof. Dr. Roland Aydin) at Saarland University, jointly affiliated with the German Research Center for Artificial
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at the Department of Machining and Manufacturing Technology, Faculty of Mechanical Engineering, University of Žilina (UNIZA), with a focus on modern manufacturing technologies. Particular emphasis is placed
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environments and to contribute to project deliverables and technical documentation Excellent command in English is required Nice to have: Experience developing, delivering or reviewing technical training
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for the Humanities, Eötvös Loránd University is inviting applications for a position of Postdoctoral Research Fellow (all genders) to collaborate on an ERC project, Parish Politics in Early Modern East
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epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models