19 postdoc-distributed-algorithms positions at KTH Royal Institute of Technology in Sweden
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the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
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learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
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. The successful candidate holds/or are about to receive a Master of Science degree in computer science, data science, or a related area, and have strong background in algorithmic design, data mining, machine
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knowledge in thermal energy storage, techno-economic analyses, and AI tools/algorithms is a merit. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6
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organizations can be considered to correspond to a traditional postdoc visit to another university. an interest in and understanding of pedagogical development within the subject field in question. interest in
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a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Supervision: Alexander Edström is proposed to supervise the doctoral student. Decisions
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data for understand present distribution of technology use, and conditions for technology-switch – this for the Energy Access analyses. For the CLEWs framework, similarly AI techniques will be used
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. There are multiple alternatives in the future deployment of nuclear, including centralized large-scale and distributed SMRs, and there is no established knowledge of how these would impact the power grid
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(ISAC), massive and distributed MIMO at sub-terahertz frequencies, and terahertz communications for satellite networks. The research will focus on the physical layer and media access control layer