359 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Fellowship positions in Norway
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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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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Fellowship in Science & Technology Studies Apply for this job See advertisement About the position One PhD Research Fellowship (SKO 1017) in Science & Technology Studies (STS) is available at TIK Centre
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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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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the Theoretical Ecology Group (http://bio.uib.no/te ). The ocean is a physical environment that is dynamic and variable in terms of e.g. light, temperature, and ocean currents. These provide constraints and
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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are reshaping how we learn, 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
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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