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innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target
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field, which provides another dimension to model development (Keylock, 2018). Methodology: The project will have three key stages to it: (a) direct numerical simulation of the Navier-Stokes equations
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various research studies involving low- to high-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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-energy impact events using LS-DYNA and other applicable numerical analysis methods/computer simulation codes. Prepare and submit proposals/budgets to acquire new funding. Meet with prospective clients
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stimulating and highly collaborative scientific environment hosting numerous prestigious and internationally renowned neuroscience research institutions. This includes the University and its Medical Center
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
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Sciences). Experience in numerical modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable
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Project advert Perfluoroalkyl substances (PFAS) are manmade chemicals that are ubiquitous within society. PFAS offer water/oil repellence and non-stick properties, featured in numerous consumer