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Field
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on plant performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical
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Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or a related field, with a strong academic record Proficiency in PyTorch or JAX, including experience training machine learning
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
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of science, technology, and medicine. We welcome proposals with focus on regions around the globe and on any historical time period which can relate to and enrich the School’s research agenda. Please find all
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. Contact Prof. Holger Boche, Technical University of Munich, School of Computation, Information and Technology, Chair of Theoretical Information Technology, Theresienstrasse 90, 80333 Munich. https
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data science and machine learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary
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of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain and on tailor-made synthetic diamonds. Whether high-frequency circuits for communications technology
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topics in agile structures. The Hector Research Institute cooperates closely with the LEAD Graduate School & Research Network (Learning, Educational Achievement, and Life Course Development), an
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scientific publications, workshops and conferences as well as to external collaboration partners Active support of team leader in terms of acquisition of new projects and technology transfer into pharma and