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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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. There is growing interest in microsystems that can replicate the local physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing
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, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced
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: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
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characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
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disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based on the characteristics, availability, and
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materials, formulating and optimizing electrolyte systems (including hybrid solvents, functional additives, and water-in-salt electrolytes), and investigating the electrochemical performances of designed
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around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University of Technology and the University of Gothenburg, combining the best of two academic worlds in
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. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting. Designing and building of new acoustic cell separation modalities. Research within single cell proteomics