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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
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-oriented humanities, as well as innovative and inquiry-based teaching and learning. The Faculty consists of six departments as well as a Faculty administration. Apply for this job Deadline 15th September
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interdisciplinary research. The applicant should take keen interest in learning and working in teams. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society
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the performance of the controller. Document in detail the performance of the MPC setup and summarize the lessons learned in at least three international peer-reviewed journals. Academic publications and popular
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the Head of the Computing Group. Duties of the position Acquire and maintain cutting-edge knowledge of the field Coordinate with the supervision team to agree on research directions Actively participate in a
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composites. You will combine experimental methods and computational modeling to push the boundaries of advanced manufacturing. Along the way, you will acquire expertise to build a foundation for a future
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from the salary. The employment period is 3 years. 4 years if Integrated PhD. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before the end of the employment
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dynamic research environment. Strong organizational skills and ability to manage multiple tasks and deadlines effectively. Adaptability and openness to learning new methodologies and techniques. Commitment
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, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
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, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
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the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other programmes may apply for admission to the individual