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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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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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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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-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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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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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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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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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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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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and teaching fields: Ecological Modelling; Conservation Biology; Zoology, Ethology and Animal Welfare; Evolution and Genetics; and Cell and Microbiology. You can read about the workplace here:https