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Are you ready to drive sustainable innovation in carbon fibre recycling at Chalmers University of Technology? We are looking for a postdoctoral researcher to join a cross disciplinary project at
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, design and 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
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The research will focus on the design of novel composite materials and hydrogels based on biopolymers, nanocellulose, and conjugated polymers. You will work closely with WWSC researchers at Chalmers, KTH, and
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decision-making in clinical settings. Project description In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure patients. Using AI, we
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design and simulation, laser fabrication, and material and device characterization. We have developed a novel thin-film lift-off process for AlGaN-materials based on electrochemical etching, which allows
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the design and analysis of learning-enabled systems. At STAR, we tackle key questions like: - How can we build systems that are both intelligent and inherently trustworthy? - What methods ensure reliability
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based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to: Simulation, design and characterization of quantum processors Development and optimization
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materials for energy-related applications, including battery components. Within this project, the group contributes expertise in advanced synthesis and materials design, with a particular focus on the
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Join our cutting-edge research team at Chalmers, exploring microresonator frequency combs for advanced communications and metrology. We’re looking for a postdoctoral fellow to drive innovation in
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predictive strategy to estimate the remaining driving range. The prediction model should consider vehicle design parameters, driving style characteristics, road topology, and real-time traffic and weather