323 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" Fellowship positions in Norway
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- University of Oslo
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- NTNU Norwegian University of Science and Technology
- University of Inland Norway
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temperature and pesticides, and recovery from disturbance removal, depends on the populations phenotypic plasticity and/or genetic adaptation. For more information and how to apply: https://www.jobbnorge.no/en
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. The overall goal is to contribute to improved security, resilience, and situational awareness in critical infrastructure systems. For more information and how to apply: https://www.jobbnorge.no/en/available
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rotation, and leading the asteroseismic analysis of these stars, which encompasses data analysis, stellar modelling, and inversion techniques. For more information and how to apply: https://www.jobbnorge.no
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to apply: https://www.jobbnorge.no/en/available-jobs/job/294610/phd-research-fellows-in-geosciences-planetary-or-exoplanetary-sciences-up-to-three-positions Where to apply Website https://www.jobbnorge.no/en
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and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294723/phd-research-fellow-in-biochemistry-and-structural-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in
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, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide