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orchestration across different network components, as well as to the development of sensing algorithms and ISAC solutions. The postdoctoral researcher will also play an active role in coordinating research
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algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
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multidisciplinary fields, participation in academic conferences, experience from scientific publishing and other personal and professional development. The project will be carried out at Luleå University
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Gordon Bell prize in 2023), and VeloxChem (a versatile open-source quantum chemistry software). As a postdoctoral researcher, your primary focus will be to pioneer innovative, technology-aware algorithmic
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challenges in the machine learning domain, e.g., complexity of machine learning algorithms, reliability, and trust. An important part of your work will be to develop the theoretical foundation of trustworthy
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theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
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analyses) using data obtained from several sources. The aim is to expand the theoretical framework for predictive asset management in the railway sector including establishment of suitable algorithms and
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possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
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out together with seven industrial partners and is externally funded by the Knowledge Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods
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investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying