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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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. For more information on NIH, visit http://www.nih.no About the Department The Department of Physical Performance contributes through education, research, and dissemination, to an understanding of what
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stays at foreign educational institutions Support to education activities in courses within the Software Engineering area Other career-promoting work, such as learning grant preparation fundamentals Be
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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 This PhD project is connected to FME NorthWind (https
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to qualify for security clearance at level CONFIDENTIAL or higher. https://lovdata.no/dokument/NLE/lov/2018-06-01-24/KAPITTEL_8#KAPITTEL_8 The appointment is to be made in accordance with NTNUs guidelines
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. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one
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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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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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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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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