24 algorithm-development-"UCL" uni jobs at KTH Royal Institute of Technology in Sweden
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. The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but
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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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develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
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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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to support short- and long-term decision-making, developing new integrated designs and operation of complex industrial sites. The project is in collaboration with DTU Construct and research stays are planned
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, which involves the development of a comprehensive research activity at a high international. The assistant professor is expected to teach and supervise bachelors, masters and PhD students. The assistant
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focus on digitalization and sustainability. The project will investigate how digital tools and sustainable working methods can change construction economics and urban development. A central theme is the
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collaboration between various schools at KTH, Stockholm University and an industrial consortium composed of Stockholm Exergi, Astra Zeneca, Biofiber Tech, Grimaldi Development, Tekniska Verken i Linköping
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reactions. As doctoral student you will develop new sustainable methods for selective organic synthesis applied to biosourced materials. Through your work you will contribute with fundamental insights and
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sustainable energy systems. It focuses on developing and integrating microgrids, which are crucial in managing the variability of renewable resources and achieving decarbonization targets. Future power systems