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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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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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The Centre for Machine Learning located under 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 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 candidate is required to have a good understanding of relevant software programmes and have acquired the necessary technical skills needed to carry out the mathematical calculations based on different sources
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our journey. See our publications and projects here. DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
The Department of Mathematics and Computer Science at the University of Southern Denmark invites applications for both tenure-track Assistant Professors and Associate Professors in Computer Science
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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10 Oct 2025 Job Information Organisation/Company University of Copenhagen Department Department of Mathematical Sciences Research Field Mathematics » Applied mathematics Economics Researcher Profile
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a postdoctoral research fellowship in models of quantum