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Field
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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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will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and
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, including satellite-derived soil moisture and environmental observations, in-situ measurements and land-surface model simulations. Data assimilation and related multi-source data integration techniques will
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to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range
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simulated driving tasks.The PhD candidate will contribute to experimental design and protocol implementation.They will participate in participant recruitment and the acquisition of behavioral, EEG and eye
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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-language-action models, imitation and reinforcement learning, world models, multimodal perception, model compression and edge inference. A key aim is enabling robots to improve beyond initial demonstrations
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Prof. Igor Zozoulenko). Our focus is on: Machine-learning accelerated materials simulations ML-accelerated simulation of ion and charge carrier transport in energy materials Multiscale modeling
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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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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