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potential to lead to the next generation of optimal bioinspired materials. In particular, the candidate will work on: i) commissioning and establishing this novel technique, granting the opportunity
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the last three years prior to the application deadline Strong expertise in at least one of the following: power system optimization/digitalization, or power electronics hardware. Experience in digital
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. The goal is to create a design guide for municipalities and consultants, based on findings from the Chalmers Gårda raingarden pilot , to effectively treat polluted stormwater. The study will identify optimal
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deposition, its characterization and optimization. Design sensor layout and evaluate materials involved, from the standpoint of bio compatibility. Functionalize graphene devices, in collaboration with chemists
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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can take one of two directions depending on the expertise of the selected candidate: novel algorithm design, with advanced control, optimization and deep reinforcement learning; hardware-oriented
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albuminuria levels. Risk-based clinical decision support: Developing tools and frameworks to guide decisions using individualized risk prediction metrics to optimize patient care. Identifying and addressing
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optimizing electrolyte systems (including hybrid solvents, functional additives, and water-in-salt electrolytes), and investigating the electrochemical performances of designed aqueous batteries. The main
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. Thus, this project will advance our empirical understanding and thereby create an urgently needed decision support for developing optimized strategies for boreal peatland forest management. The main
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with experimental biologists, clinicians, and data scientists. Design, test, and optimize data visualization tools for spatial and single-cell data. Contribute to manuscript preparation, conference