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Field
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Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering, or a related field. Solid theoretical
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the center's partner enterprises. Qualifications Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering
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must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial differential equations. Master
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. Required selection criteria You must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial
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At the Faculty of Engineering and Science, Department of Materials and Production a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing Engineering
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). Applicants must have significant programming experience ideally in C, C++, R and/or Python. You must have good written and oral
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling