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connections between brain, gut, and behavior. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application for admission to a PhD programme at the institution
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program and part of the Faculty's medical school and PhD-program. We employ about 220 FTE and have almost 700 Bachelor and Master students. Annual income is about 200 mill NOK, half of which is external
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at elucidating the impact of dietary oils on the development of melanized focal changes. Collaboration with an existing PhD student in this project will be exploited. Part of the laboratory work may be conducted
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Qualifications To be admitted to the PhD programme at the Faculty of Medicine, applicants are required to have completed at least 5 years higher education, i.e. a master’s degree or equivalent professional studies
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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. For questions regarding the PhD program
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position at NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded
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application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks The main
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clinical risk factors? 4. How can prediction models be validated to ensure they are trustworthy and reliable for integration into living digital decision aids at the point of care? About the PhD program The
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engineering, building physics, material science, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting M.Sc. thesis within 30
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to MINA’s PhD programme. The documentation that is necessary to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest