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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting inverse design in integrated photonics. This research is part of the Metapix
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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 application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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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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, on the Swedish west coast. Information about the project and division The broad goal for this project is to develop prototype HPC and AI systems based on EU-design and developed chiplets using the latest
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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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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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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