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for applicants with: a strong interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills familiarity with state-of-the-art machine
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methods for the health domain, strong coding skills familiarity with state-of-the-art machine learning frameworks experience in natural language processing, sound-based machine learning, development and
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guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution
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information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund
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information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund
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interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills and familiarity with state-of-the-art machine learning frameworks We
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multiwavelet methods in our code (MRChem), and in particular in connection with recent developments for real-time simulations and correlated methods. This development will then be connected to the computation
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website, you will find more information for applicants . The remuneration for Postdoctoral research fellow is in accordance with the State salary scale code 1352. A compulsory contribution of 2
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the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which
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from recruitment. After the appointment you must assume that there may be changes in the area of work. Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017