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Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts and mission developers with scientific, expeditionary and
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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Vacancies EngD position on Developing an Interactive Reverse Logistics Map for Circular Construction (CIRCOLOGIC) Key takeaways The construction sector is under increasing pressure to reduce CO2
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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disciplinary boundaries towards bioinformatics and computational biology. You do not need to arrive as an expert in both fields. This is what you will do You will develop quantum-algorithm prototypes within
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candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science