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- NTNU Norwegian University of Science and Technology
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criteria You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information You must have a relevant Master's degree in Mechanical
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modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project
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of the PhD regulations for more information You must have a relevant Master's degree in Mechanical Engineering, Mechatronics, Robotics, Engineering Cybernetics, Product Development, Industrial Design
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1st October 2026 Languages English English English The Department of Information Security and Communication Technology (IIK) has a vacancy for a PhD Candidate in Advanced Physical Security
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree instructural
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of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here . via Unsplash Life as a PhD candidate
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prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the Doctoral Programme in Computer Scienc e, see Section 6-1 of the PhD
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the Doctoral Programme in Computer Scienc e, see Section 6-1 of the PhD
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science. Electronic structure calculations (e.g. DFT or tight-binding methods), or thermodynamic modelling (e.g. statistical mechanics, MD or CALPHAD). Scientific data analysis. Interdisciplinary research