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-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault diagnosis of gas turbines
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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development related to the above areas. Publications in first class journals and highly competitive conferences in areas relevant to the work, i.e. network modelling and protocol emulation in virtualised
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that develops new knowledge and innovative solutions for sustainable working life in an ageing population. The work is conducted in close cooperation with the Professor Ageing and Later Life and other researchers
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independent research and highly motivated to develop novel nonlinear optimization techniques and to deepen the understanding of their mathematical foundations. Additionally, your problem-solving skills and
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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
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design and development of organic and bio-based materials with tailored functionalities for energy transport, conversion, and storage, with a strong emphasis on sustainability and environmentally benign
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in AI and cybersecurity to develop novel solutions to cyber-resilient AI for the benefit of Swedish industry and society. The vision is to make Sweden a role model in secure trustworthy AI by
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have strong communication skills in both speech and writing, the ability to critically assess research results, and an interest in research communication and collaboration with different stakeholders
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Join an interdisciplinary team developing next-generation spectroscopic diagnostics for wound care. Work assignments The postdoctoral researcher will play a leading role in an interdisciplinary