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on regional-scale modeling and simulation of subsurface flow and geomechanics, including associated numerical and computational methods. Topics may include upscaling, numerical analysis, and the design and
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(equivalent to 120 credits according to Norwegian standard definitions) within the fields of Computer Science or related disciplines, such as Physics, Mathematics, Statistics, Neuroscience, or other fields
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completed master’s degree (or equivalent) that meets the admission requirements for the Ph.D. programme in Biosciences at Nord University. Relevant academic backgrounds include chemistry, chemical engineering
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about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position To be able
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degree. Grade average of B or better (or equivalent score) is required both for the program in total and the master’s thesis. See admission requirements: PhD in Biosciences. The PhD will oversee planning
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field of study is required Applicants from outside the EU/EEA must submit NOKUT approval of their master’s degree Grade average of B or better (or equivalent score) both for the programme in total and the
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for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences It is assumed that the selected candidate will be admitted to the faculty’s doctoral programme. A final project
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of their master’s degree Grade average of B or better (or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences It is assumed that the successful
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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(or equivalent score) both for the programme in total and the master’s thesis. See admission requirements: PhD in Biosciences A good knowledge and practical experience in molecular ecology, population genetics