222 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
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for admission to the faculty's Doctoral Programme Good skills in mathematics, programming, and information systems Very good English skills, both written and oral PLEASE NOTE: For detailed information about what
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-year program is designed for talented students who wish to pursue an international career within academia and who can contribute to the international arena with their research and publications
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programme (TIK track) and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree
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program Arctic Ocean 2050. The successful applicant will work with zooplankton data from the High Arctic to address knowledge gaps in life history strategies, phenology and the distribution of key
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rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with
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that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career
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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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, and the use of feed additives) will also be explored. 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
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-year Norwegian master program, where 120 credits have been obtained at master's level Master students can apply, but the master's degree must be obtained and documented before starting the position and
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operations Plan and execute iterative prototyping cycles with concepts, prototypes, and evaluations Perform empirical studies using mixed methods (e.g., interviews, observations, usability testing, experiments