573 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions in Norway
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), it is important that you are able to: Ability to work independently and in a team. Drive to learn new methods and applications. Curiosity and creativity in finding problem-related solutions. Contribute
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teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/296315/postdoctoral-fellow-in-mo
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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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: 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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, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and