172 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
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outside academia. The PhD position is linked to the " GP CIRCFeed – Circular Low Trophic Feed Production from Industrial Sidestreams” project financed by The Green Platform Initiative (https
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maybe 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://www.ntnu.edu/nv/phd
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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. The Department offers teaching in medicine at master’s and PhD level. We also offer continuing education for employees in the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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of graduates who enable value creation based on our natural resources. The Department of Geosciences is one of eight departments in the Faculty of Engineering. Where to apply Website https
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of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application
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the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic We welcomes applications specialising in several fields
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must have documented experience with hydrogen technologies, in particular liquid hydrogen systems, hydrogen storage, or cryogenic energy applications. You must have experience with data analysis, machine
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integrated circuits (PIC). An optical set-up will be used to characterize the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis