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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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updates, and interoperability at scale. In close collaboration with project partners, the PhD candidate will focus on relevant data modeling and processing approaches for data gap filling, redundancy
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experiments on pore scale and core scale using MRI, but also to provide input for modelling and numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger
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areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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documented, for example by attaching a copy of the passport. Applicants who hold citizenship in countries that make it likely that a license will not be granted, may be excluded from the further application
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. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
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of microfabrication fundamentals. Experience with CMOS chip design, or proficiency in relevant EDA tools such as Cadence Virtuoso, Tanner EDA, L-Edit. Experience in Multiphysics modelling and simulation with COMSOL
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Professor, 4 Assistant/Associate Professors and 8 PhD/Postdoc research fellows, HVL Robotics offers a close collaboration within variety of robotics disciplines. The robotics laboratory is equipped with