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- Norwegian University of Life Sciences (NMBU)
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Group Context: The Analytics and AI Group includes 11 researchers and 2 PhD students. Focus areas: hybrid AI, reinforcement learning, model predictive control, industrial applications (robots, wastewater
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learning and/or deep learning in remote sensing studies Experience with project management National and/or international networks Personal qualities High work capacity Analytical and good abilities to work
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creative and capable of working result-oriented, accurately, and systematically Have analytical ability Be able to work independently as well as in a team Be proficient in English and, preferably, in a
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Scandinavian language You need to have: Good interpersonal and communication skills Strong analytical and problem-solving skills Ability to work under pressure and interact with industrial partners Commitment
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programming languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility
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languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility with
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to have: Good interpersonal and communication skills Strong analytical and problem-solving skills Ability to work under pressure and interact with industrial partners Commitment and enthusiasm for working
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qualifications Good interpersonal and communication skills Strong analytical and problem-solving skills Ability to work under pressure and interact with demanding users Commitment and enthusiasm for working as
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scientific articles Proficiency in Norwegian or another Scandinavian language Personal qualifications Good interpersonal and communication skills Strong analytical and problem-solving skills Ability to work
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The Accounting group in the Department of Accounting of Operations Management is divided into two sub-groups: One group conducts quantitative (formal analytical and archival) research in the areas of financial