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challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity
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to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing on the HASRL framework and the
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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integrates athletes’ subjective experiences (such as perceived exertion, motivation, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University
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. Both signals and responses occur over time, in a dynamically changing landscape. The goal of this position is to investigate information transfer in dynamical systems, ranging from molecular
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and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a
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-disciplinary environment? Information Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows
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further develop our quantum simulation/computing approach. This includes experimental work with the tweezer machine, such as debugging and data taking, designing and constructing upgrades to the machines