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Field
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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of atmospheric and climate variability. The successful applicant will test this hypothesis by performing new simulations with the UKESM1 model that incorporate improved representation of stratospheric smoke
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help to realize them experimentally on our quantum simulator. We are especially interested in simulating quantum many-body models relevant to materials science and condensed matter physics. We are also
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active
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propose strategies for fields on the Norwegian continental shelf. Competence required in at least one of the following fields: Reservoir simulation, computational modelling Competence desired: Subsurface
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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python. Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy