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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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Job Description The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites
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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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and conducting laboratory work. Insight into applied mathematics, linear algebra, process-based modeling, and soil health indicators. Experience with Python, applied statistics, and gradient-based
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and classical analysis, history of mathematics, mathematical physics, partial differential equations, quantum information and quantum computing, as covered by the section Analysis and Quantum
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and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning
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theory, and is expected to have experience with the practical implementation of control algorithms. Who we are Learning and Decision at AAU, founded in 2020, focuses on developing mathematical methods
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& Atmospheric Physics Division of the Department of Space Research and Space Technology (DTU Space), current focus areas cover exoplanets, large-scale structure of the universe, physics of compact objects, space
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& Atmospheric Physics Division of the Department of Space Research and Space Technology (DTU Space), current focus areas cover exoplanets, large-scale structure of the universe, physics of compact objects, space
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and working with Master and Ph.D. students at ECE and collaborators as needed. Your profile Applicants should hold a PhD in Electrical Engineering, Electronics Engineering, Materials Science, Physics