3,734 phd-agent-based-modelling "NTNU Norwegian University of Science and Technology" PhD positions
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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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Deadline 13th June 2025 Employer NTNU - Norwegian University of Science and Technology Municipality Ålesund Scope Fulltime (1 positions) Fulltime (%) Duration Temporary Place of service Larsgårdsvegen 2
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- knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life. Department of Structural Engineering We
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(Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU)). The PhD candidate will work on identifying novel functions of DNA repair enzymes in gene expression
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Unsplash NTNU - knowledge for a better world NTNU - knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change
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Deadline 1st August 2025 Employer NTNU - Norwegian University of Science and Technology Municipality Trondheim Scope Fulltime (1 positions) Fulltime (%) Duration Temporary Place of service Høgskoleringen 1
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for a better world NTNU - knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life
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Vacancies PhD position Sensor based modelling of social and physical activity in high schools Key takeaways In this PhD research, you will specifically focus on the design of machine learning and
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artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in machine learning methods and
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects