33 algorithm-development-"UCL" positions 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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, and law, where inaccurate or misleading responses –- known as "hallucinations" –- can have serious consequences. ARMADA seeks to develop solutions that make these AI systems more trustworthy, coherent
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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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brain injury are widely used for neurotrauma research and therapeutic development. Today, the mechanistic pathway of experimental neurotrauma is largely unknown and yet little biomechanical reference
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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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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration