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work with deep learning frameworks (e.g., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting
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learning, and responsible AI. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research-groups/ . Qualifications To be appointed under the postdoctoral
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Intelligence group and the Deep Data Mining group at the Department of Computing Science, collaborating with researchers in, e.g., data science, machine learning, and responsible AI. More info about the research
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the time the employment decision is made. Research expertise in machine learning (e.g., deep learning, probabilistic methods). You have independence in research, curiosity, and strong critical thinking
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will work with tools such as AlphaFold and RosettaFold-diffusion and apply deep learning to address the next challenges in dynamics and the design of novel protein-based therapeutics. As postdoc, you
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connectivity operate as one. You will join an interdisciplinary and collaborative research environment that values creativity, initiative, and experimentation. We combine deep systems research with hands