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focus on advancing chromatographic separation of biobased molecules through modelling, simulation, experimental chromatography, or a combination of these approaches, depending on your background. You may
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neuroimaging data (EEG, fNIRS, fMRI) to calibrate and validate models, enhancing the interpretation of neural and vascular dynamics. collaborating with international partners and contributing to simulation and
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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to brain disorders, uncovering mechanistic pathways, and identifying therapeutic targets and disease predicting biomarkers. We develop and apply human-based disease models to advance understanding of brain
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atomic-scale engineering of materials. Our focus areas include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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this project, you will be deploying first-principles simulations to study interfaces between semiconductor layers inside industrial devices. We will use artificial intelligence (AI) to perform interface