321 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Norway
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refractive-index imaging of complex samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow
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Science About the project This PhD project integrates pharmacoepidemiology, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies
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the areas of stochastic analysis and computational methods towards machine learning with focus on risk-sensitive decision making and control. Techniques may include forward, backward stochastic differential
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the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early
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groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications
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bioinformatics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292274/phd-fellowship-in-nuclear-organization-in-breast-cancer Where to apply Website https://www.jobbnorge.no
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the Research Council of Norway and the Department of Psychology at the University of Oslo (UiO). Learn more about working at PROMENTA here . About the NeuroPathways Convergence Environment and the PhD project
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of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC
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. The project will collaborate closely with, and utilize existing linked data from, Regforsk at NTNU (https://www.ntnu.no/ism/forskning/regforsk#/view/publications). Deakin University in Melbourne, Australia is