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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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-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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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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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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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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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
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research within Unmanned Traffic Management (UTM). In this role, your primary responsibility will be the hands-on development of advanced simulations and prototypes that help us test and validate new UTM
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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