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focuses on developing advanced optimization and control strategies (e.g., deep reinforcement learning) for large-scale sustainable grids, to enhance overall system stability, flexibility, and resilience
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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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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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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the Department of Energy Sciences. At the division, we conduct research in various fields, including research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows
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departments at the Faculty of Medicine. Clinical Sciences Lund cooperates closely with Skåne University Hospital and the Faculty of Medicine in order to optimize the conditions for preclinical and clinical
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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of the active material through an intrinsic buffer effect. The overall aim is to design new materials and optimize fundamental battery performance, as well as to achieve increased mechanistic understanding