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real-world impact. We work across domains such as healthcare, automotive, and manufacturing, using multimodal data and foundation models. The team includes PhD students, postdocs, and industry
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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ships, such as combustion engines, fuel cells, and hybrid or electrified drivetrains. Experimental and modeling activities related to energy converters, fuel sustainability, and environmental impact
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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from automated vehicles (AVs), they must be both safe and appreciated by drivers. This project uses modeling (e.g., AI/machine learning) and human behavior data to predict perceived safety and quantify
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Our lab is advancing precision medicine through deep learning models
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importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
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description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses on developing a fundamental understanding and numerical
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Description PhD student in Modelling carbon and greenhouse gas fluxes in lakes Are you interested in working on modelling carbon and greenhouse gas fluxes in lakes, with the support of competent and friendly