100 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD scholarships in Norway
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292175/phd-position-on-the-history-of-medical-plastics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292175
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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Master’s degree. Please see https://hkdir.no/en for more information. The approval process will take some time and we recommend you to contact HK - dir as soon as you decide to apply for the position
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https://www.ntnu.edu/iv/doctoral-programme Strong background
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must submit approval of their master’s degree, https://hkdir.no/en/foreign-education . A grade average of B or better (or equivalent score) is required for both the program overall and the master’s
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will be the Head of Department. About the project The successful candidate will be part of the project SAPPHIRE (https://sapphire.norceresearch.no/ ). SAPPHIRE aims to contribute to cleaner and more
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme: https
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selection criteria Experience with machine learning or other relevant AI technologies Experience with condition monitoring, preferably within maritime domains Knowledge of ship machinery and systems Good oral
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systems are reshaping how we learn, work, create, lead, and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—humans and machines working and learning together. Our