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. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have
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, the developed models will be deployed in realistic scenarios, including turbulent flows over complex terrain, within built environments, and in wind farms. The project integrates fundamental applied mathematics
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clinical psychology, psychiatry, mathematical modelling and statistics, led by Associate Professor Maria Semkovska in a collaboration between the Department of Psychology, Odense University Hospital and the
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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 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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Job Description The Exoplanet Group at DTU Space at the Technical University of Denmark, situated in the greater Copenhagen area, invites applications from highly qualified individuals for a postdoctoral position of three-year duration in atmospheric characterization of terrestrial, super-Earth,...
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Job Description The Exoplanet Group at DTU Space at the Technical University of Denmark, situated in the greater Copenhagen area, invites applications from highly qualified individuals for a postdoctoral position of three-year duration in extreme-precision radial velocity research. The postdoc...
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The Department of Mathematics at Aarhus University invites applications for postdoctoral positions in the research group of Fabrice Baudoin. The positions are within the fields of probability theory
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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