35 algorithm-development-"University-of-Surrey" uni jobs at KTH Royal Institute of Technology
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two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing
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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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currently in a strong phase of expansion and is investing in the development of advanced methods for the integrated analysis of biological systems. The platform is now recruiting three bioinformaticians
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project aims to integrate societal impact assessment of transport solutions and policies with travel behavior models. Traditionally, these models and assessment methods are developed independently and
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include