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. The ambition is to develop lab exercises that directly support and illustrate the abstract mathematical theory of the subjects, and to measure whether such exercises improve the learning process. You will be
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Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with mechanising theory and/or practice
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are essential, particularly in one or more of the following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph
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. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
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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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following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph Neural Networks Deep Learning and Uncertainty
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and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong traditions
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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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In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a Postdoc position
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experience of the world is continuous. However, it has been proposed that attention samples the input from our senses in roughly 7-8 discrete ‘snapshots’ per second. This theory is supported by many studies