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relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on geological applications. This is the right position if you are a highly motivated
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exchange, and by shorter and longer research stays at partner institutions. The Researcher will work with other researchers to apply computational methods to study C-H bond activation reactions catalysed by
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on interdisciplinary themes, and the use of computational methods will be essential. A key principle of the DSTrain programme is that novel and ground-breaking results are obtained when data science and natural sciences
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research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational methods. The main purpose of a postdoctoral fellowship is to provide
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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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NTNU 30th April 2025 Languages English English English We are looking for a PhD Candidate in Computational Modelling of Thin-Film Magnetic Materials Apply for this job See advertisement This is NTNU
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more stringet requirements and regulations come into effect. The candidate will establish and validate numerical forming simulations, predict PCS effects on seam- and charge weld quality, integrate
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the context of molecular data, but many other research topics may also be relevant for the project, such as scalability, post-Bayesian methods, and in general computational and methodological challenges in
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for education in Norway. The Department of Teacher Education at NTNU educates the teachers of our future, from primary school through upper high school, and hosts numerous and diverse research groups . The PhD
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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