14 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" uni jobs at KTH Royal Institute of Technology
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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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into an unexplored field for research and development. Moreover, a long-term outlook shows that new technologies like small modular reactors (SMR) can play a pivotal role in enabling a new era for nuclear energy
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Science at KTH Royal Institute of Technology and International Research Centre for Neurointelligence, University of Tokyo. The goal of the project is to develop mathematical models of the brain and use them
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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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computing, with a focus on performance analysis, development, and optimization of scientific simulation codes. The work involves applications in plasma physics, computational fluid dynamics, and molecular
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of developing a virtual cell model, as a resource for biomedical research and precision medicine. Supervision: Fredrik Edfors is proposed to supervise the doctoral student. Decisions are made on admission What we
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processes in the steel industry. For these applications, suitable demonstration plants must be designed, built, tested in process-relevant environments, and validated. This is supported by the development
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, the project seeks to address key challenges such as alignment of objectives, heterogeneity in agent capabilities, and developing robust cooperation logic. Supervision: Professor Jonas Mårtensson The possibility
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employing heterogeneous catalysts, with the aim of developing the next generation of reactors for CO₂ conversion. Emphasis will be placed on understanding the underlying chemical transformations and improving