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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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, 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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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
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- Industrial membrane process research and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. Further details about the Membrane Group can be
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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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dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including
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include: Benchmark study: Compare and evaluate methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy