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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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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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. Strong research background in biometric security, presentation attack detection, or digital identity systems. Demonstrated programming skills in Python, MATLAB, or C++, and experience with deep learning
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is also placed on your: background in structural and fluid dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and
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until obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https
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obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https://www.ntnu.edu
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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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. Experience in one or more scientific computing languages (Julia, Python, Matlab, etc) You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd) Good oral
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Participate in the research group “Engineering Geology and Rock Mechanics” and FME RenewHydro (https://www.ntnu.edu/renewhydro ) Participate in international activities such as conferences Contribution in
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researchers, both locally and abroad. Your immediate leader is Trine Aakvik Strand For more information about NorHead, visit: https://www.ntnu.no/norhead/ About the project Chronic migraine affects millions
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment