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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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, development of computational models for prediction of molecular and clinical features from histopathology images, and experimental evaluation of immune regulatory targets and combinatorial treatment strategies
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from histopathology images, and experimental evaluation of immune regulatory targets and combinatorial treatment strategies. Our objective is to advance precision immuno-oncology in ovarian cancer
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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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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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
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receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher, you will develop methods to functionalize graphene with a range
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results demonstrate that compact heat-exchanger solutions—supported by conceptual design and aerodynamic optimization of integrated ducts—can deliver substantial reductions in specific fuel consumption and