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Description Candidate will collaborate with the research team to develop methodologies for co-design of AI hardware accelerators. The key focus will be to develop simulation methodologies, models and tools
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through the application of thermodynamic modelling using PHREEQC, a widely used geochemical simulation platform capable of representing complex chemical equilibria in porous materials. The project will
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. Responsibilities will include electromagnetic simulation and modeling, RF coil development and fabrication, 3D design and printing of mechanical components, laboratory testing, and evaluation of prototype systems
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expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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are uncertain, and decisions about where to survey unfold sequentially under significant time and cost constraints. Existing predictive models provide useful but incomplete support because they cannot fully
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of the digital twin of the rSOC system. Validation on experimental and simulation data. Analysis of results: Potential comparison of different system models regarding performance, adaptability and real-time
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
cellular observations. Where appropriate, modern structure prediction tools may support the construction of realistic simulation models. The project is ideally suited for candidates interested in molecular
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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of Applied Nuclear Physics at Uppsala University conducts research and education in applied nuclear physics and nuclear engineering. The research includes modelling and simulation of nuclear fuel behaviour in