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Do you want to design the next generation of catalytic materials to enable sustainable chemical manufacturing? We welcome applicants who are curious about materials synthesis and catalytic
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for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and use digital twin environments and validation tests to ensure correctness and reproducibility
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given the opportunity to work in one of the world-leading groups on blue-UV surface-emitting lasers and combine device design and numerical simulations with device processing and characterization in close
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of Marine Technology at Chalmers University of Technology. The position combines cutting-edge research with the potential to influence future ship designs and operations. If you are passionate about applying
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, critical in the design of plasma confinement devices. Modus operandi in the project is to make progress on these difficult question via structure-preserving numerical methods (cf. "matrix hydrodynamics
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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for disease localization without requiring pixel-level annotations. The work spans several core areas: machine learning, computer vision, deep learning, and medical imaging. The successful candidate will design
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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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to investigate how multiplexing of qubit control can be done in time- and frequency domain and how it affects any qubits. The research project includes: Designing multiplexing solutions for qubit control
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of ship performance models and offshore renewable energy. Research topics include: Structural integrity assessment, fatigue, and fracture Collision survivability and hull design Risk and reliability