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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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) for general criteria for the position. Preferred selection criteria Background/experience within the following fields: Aeroacoustics Fluid mechanics Numerical methods Wind energy Personal characteristics
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use of HPC for numerical computations Good background in Wave physics Good oral and written presentation skills in Norwegian/Scandinavian Personal characteristics To complete a doctoral degree (PhD), it
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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
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Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
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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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by developing innovative methods at the interplay between theoretical and computational aspects, within a collaborative and supportive academic environment. You will be part of a dynamic group of early
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documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and
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your PhD project, topic, method, theoretical approach, and why this course will be relevant for your project. About the programme The PhD programme in Innovation for Sustainability is based
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coordination of resources, including operators, equipment, and facilities, both within and across projects. This position will bridge this gap by exploring the application of logistics methods and digital