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Field
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research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career
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-tier venues across machine learning (e.g., NeurIPS, ICML), statistics, and computational biology. Dual Affiliation: The position will be based at and affiliated with the University of Oslo (Norway) and
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in computer science, automation related engineering or equivalent. Your
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relevant international scientific conferences. 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
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Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. The position is conditional on external
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international professional environment. Career guidance and follow-up during the PhD period . Open and inclusive working environment with committed colleagues. Mentor programme as a new employee at NTNU
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) Number of offers available1Company/InstituteNorwegian University of Life Sciences (NMBU)CountryNorwayCityÅsGeofield Contact Website http://www.universitypositions.eu STATUS: EXPIRED X (formerly Twitter
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document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You
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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