187 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" scholarships in Norway
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the Civil Servant Act, the Security Act, and the Export Control Act. Interested in learning more about the position? We are happy to tell you more about life on campus. Contact associated professor Davide
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, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292175/phd-position-on-the-history-of-medical-plastics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292175
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health, epidemiology, statistics, biostatistics, or machine learning/artificial intelligence. You must have a strong academic background from your previous studies and have an average grade from your
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Interaction (HCI). The position will collaborate closely with (1) the NTNU Shore Control Lab (SCL), a design and human factors research environment focusing on human-centered design of technology for safety
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. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian
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-year master’s degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic background
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and milestones Contribute to a positive and collaborative group atmosphere, be open to learn and teach Strong communication and presentation skills Be flexible and open to adjusting the plan
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of Psychology at the University of Oslo (UiO). Learn more about working at PROMENTA here . About the NeuroPathways Convergence Environment and the PhD project Convergence Environments are interdisciplinary
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk