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meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
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with at least three ideas for academic articles (see below). The successful candidate will be part of the Social Science Faculty’s PhD programme. The work is expected to lead to a PhD in political
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education. You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering The appointment is to be made in accordance with NTNUs guidelines for recruitment positions
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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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at https://www.ntnu.edu/indecol . Your immediate leader is Associate Professor Johan Berg Pettersen at Dept. of energy and process engineering and Industrial Ecology Programme. Duties of the position Conduct
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to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework of Reference for Languages (CEFR). Applicants who
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to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt ) within three months of your employment contract start date, and that you participate in an organized doctoral
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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. teaching duties. The department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science