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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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The Department of Food Science, Aarhus University (Denmark), invites highly talented and motivated candidates to apply for a 36-month postdoc position in crop physiology and biochemistry
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applications. Using complementary experimental, theoretical, and computational methods to engineer environmental microbiomes, including data science, high-throughput technologies, quantitative analysis, and
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competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics: Data Mining
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to specifically the area of soil water retention and transport in the vadose zone and the main focus of your position will be to develop hybrid differentiable models that combine soil physics and soil science
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The Technical Faculty of IT and Design, Department of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and
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to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and
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follow the PhD study program at the Faculty of Science. This position is embedded in the project “PARAMLP: Parameterized Algorithms and Polyhedra” funded by the ERC . The ERC is the premier European
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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to conducting scientific research in Computing Education/ Computational Thinking Research Collaborate with scientists in both departments (CC & CS) Manage and coordinate activities in an interdisciplinary