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to investigate the following topic. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/274361/phd-research-fellow-in-knowledge-representation-and-machine-learning Where to apply
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UiO/Anders Lien 28th February 2025 Languages English English English PhD Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position
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Research Fellow in Knowledge Representation and Machine Learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Knowledge Representation and Machine Learning
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biostatistics groups with currently ca 75 researchers. OCBE is internationally recognized, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big
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or equivalent in cognitive science, computational science or machine learning with a STEM focus. Foreign completed degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational
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PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and optimization. Examples of relevant equations include, but are not
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, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big data, computationally intensive inference for complex models, causal inference and
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of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is part of the project
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of machine learning (ML) techniques and density functional theory (DFT) simulations as well as experimental validation. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
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equations (PDEs). The research encompasses both deterministic PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and