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-XPS Strong background in electrochemistry Familiarity with battery materials and electrochemical cell design is highly desirable Excellent communication skills and ability to work in a collaborative
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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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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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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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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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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
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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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properties, such as high frequency operation, output power, linearity, and efficiency. The goal is to explore the limitations of III-nitride semiconductor devices in terms of epitaxial design and growth
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opportunities for pedagogical innovation, but they also raise fundamental questions about the relation between technology, learning and human agency. The project will contribute to the growing field of Artificial