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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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state-of-the-art tools and AI libraries developed at the TU/e, such as GameBus and Experiencer. The collected data forms the basis for developing predictive AI models that tailor coaching content and
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the development of high-fidelity multiphysics models of existing research infrastructure, as well as novel system architectures and emerging energy concepts under investigation. A central component of the position
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leveraging artificial intelligence models in practical use cases. Fluent command of Polish, German, and English (minimum level: C1); Ability to work effectively in a research team and with students; Teaching
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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looking for a full-time (100%) doctoral scholarship holder in the field of “Development of a Zebrafish Model of SMAD3-Dependent Thoracic Aortic Aneurysm for In Vivo Drug Screening”. Join us in tackling a
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is developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how