640 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions in Norway
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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will primarily teach and supervise students in the department’s
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methanol and their subsequent coupling into larger hydrocarbon molecules. For more information and how to apply: Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294613/phd-research
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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: https://www.jobbnorge.no/en/available-jobs/job/293057/doctoral-research-fellowship-sko-1017-at-the-department-of-archaeology-conservation-and-history Where to apply Website https://www.jobbnorge.no/en
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between sources and attitudes in Denmark, Sweden and Norway. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293063/doctoral-research-fellowship-sko-1017-in-heritage
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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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the project lead if you have further questions about the project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293031/postdoctoral-research-fellow-in-studying-the-role
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in