355 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Fellowship positions in Norway
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of the Algebra, Geometry and Topology section. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294740/phd-research-fellow-in-algebraic-topology Where to apply Website https
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294739/phd-research-fellow-in-algebra-geometry-and-topology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
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will then integrate those data into climate models. Please read this interview for more details: https://ic3.uit.no/news/postdoc-opportunity-investigate-how-much-carbon-is-stored-beneath-ice-sheets
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this by concentrating on five select research areas in ICT. Learn more about: working at Simula and careers at Simula Project/Job description In the Department of ComplexSE, we are now offering a
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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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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