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Angeles (USA). We seek three brilliant PhD candidates who are passionate about using computer simulations and performing data analysis of various spacecraft observations. Despite their modeling nature
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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resilience. Experience with advanced modelling techniques for logistics and supply chain analysis (e.g., simulation tools, digital twins, or data-driven optimisation methods). Knowledge of food quality and
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, biophysics Machine learning and generative AI Molecular modeling and molecular dynamics simulations LNP formulation and characterisation including e.g. small angle scattering, microscopy, single particle
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the following objectives: To model microclimatic conditions along Sweden’s road infrastructure and investigate how roads contribute to variation in microclimate at the landscape scale. To understand how variation
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(connected to e.g. geolocation, wood quality, BIM models, EPDs, moisture and weather exposure), identify needs and collect complementary data and investigate techniques for connecting and transferring data
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approaches for responsible and trustworthy AI, such as frameworks for fundamental right impact assessments (FRIAs), and threat modelling methods (e.g., Plot4AI). Weight will be given to: Knowledge and
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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AI / ML. The unique inter-disciplinary combination will enable: (i) a-priori biological knowledge infusion for GRN modeling and developing GenAI methods for generating GRNs; (ii) generating simulated
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found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production and in the interaction between these areas. The research covers