636 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Norway
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to team-working and personal skills. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292642/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https
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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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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 biosystematics (i.e
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. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293272/phd-research-fellow-in-palaeoecology-and-sedimentary-ancient-dna Where to apply Website https://www.jobbnorge.no
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provides opportunities to collaborate with both national and international collaborators, as well as exploring sustainability aspects of the technology. For more information and how to apply: https
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to apply: https://www.jobbnorge.no/en/available-jobs/job/293760/postdoctoral-research-fellows-in-viscous-flow-coupled-with-elastic-deformation Where to apply Website https://www.jobbnorge.no/en/available
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: https://www.jobbnorge.no/en/available-jobs/job/292520/postdoctoral-fellow-in-molecular-cell-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292520/postdoctoral-fellow-in-mo
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’. The position forms part of the larger ERC-funded AFRI-FOR project (https://afrifor.info/ ). In developing countries, reconciling nature protection and development goals (food security, poverty alleviation) make
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certification authorities. Knowledge of experimentation and research methodology. Proficiency in quantitative research methods and familiarity with relevant computer programs, such as SPSS, SAS, or STATAl
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. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design