600 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Norway
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to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer Interaction
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collaboration, funded through the Centre for Research-based Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research
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at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree, with a learning outcome corresponding to the descriptions in the Norwegian
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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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, applicants with a strong background in linguistics (or related fields) are encouraged to apply even if they have limited prior lab experience, provided they are motivated to learn experimental methods and
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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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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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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