583 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Norway
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- Norwegian Institute of Bioeconomy Research
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relevant Master’s degree (or equivalent) in design, industrial design, human–computer interaction, robotics, human–robot interaction, human factors, cognitive psychology, or another relevant field have a
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cooperate in interdisciplinary team You have good communication and dissemination skills You have good analytical and critical thinking skills You have a genuine interest in research and willingness to learn
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of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means that the agent will learn from simulator data and expert knowledge, and
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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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written and oral communication skills in English The candidates should be able to teach in a Scandinavian language. Experience in extracellular vesicles/lipid nanoparticles, lipid chemistry and/or confocal
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career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The Research
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MSc degree within the fields of immunology, cell biology or biochemistry. The candidate must have excellent written and oral communication skills in English The candidates should be able to teach in a
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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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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 throughout the doctoral
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project-based learning tied to deliverables. Secondments, consortium meetings, and workshops will provide hands-on experience in collaborative modelling, scientific synthesis, and science-policy engagement