358 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions in Norway
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-promoting work (e.g. teaching at the Department). The position is subject to financing by the project GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie
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-promoting work (e.g. teaching in the Department). The position is subject to financing by the project GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), Maria Skłodowska Curie
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for three years with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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the application”. If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence
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plan that includes the skills and knowledge you will acquire An inclusive working environment with ambitious colleagues The opportunity to take Norwegian language courses Salary in accordance with
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, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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Fellow is expected to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. Candidate A: One candidate will work on a
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Validation with use cases. The primary use case leverages an AI-enhanced web platform for North Sámi language learning. The PhD research will develop a modular verification engine integrated into the platform