15 machine-learning-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Copenhagen
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons
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N2O from wetlands. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the
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project will develop general self-supervised and unsupervised machine-learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to build methods
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analysis in the Wasserstein space of stochastic processes (contact Johannes Wiesel [email protected] ) Causal modelling and related questions in reliable machine learning (contact Sebastian Weichwald
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IMAGE section, which conducts research in machine learning, computer vision, and simulation. The section is part of the Department of Computer Science, Faculty of SCIENCE, University of Copenhagen. The
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& Retrieval Lab , one of the research labs within the Machine Learning Section at DIKU. The Machine Learning Section is an internationally recognised research environment with a strong track record of
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materials, and the methods include DFT-simulations, machine learning potentials, Monte Carlo simulations and statistical analysis. We enjoy a close collaboration with experimental groups, both at the
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would have an educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The
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conferences within mathematics, computer science, or statistics, a wish to apply advanced mathematics, statistics and machine learning techniques in morphology demonstrated theoretical contributions within
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interactive and real-world settings. The project will develop new algorithms and computational methods at the intersection of computer graphics, computer vision, machine learning, geometry, and high