20 coding-"LIST"-"EPIC"-"Humboldt-Stiftung-Foundation" Fellowship positions at UiT The Arctic University of Norway in Norway
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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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experience coding within Unix-based HPC environments, and a background in MATLAB and Python programming languages would suit working with our existing code base Emphasis is also given to personal suitability
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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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of proficiency in Norwegian, Swedish, or Danish at a minimum of level A2 (if available) Contact information to 2-3 references Documentation of teaching experience and qualifications, if applicable A list of your
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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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how you will strengthen the research activity in the research team CV, with complete overview of education, supervised professional training, professional experience, and list of scientific publications