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30 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Civil engineering Engineering » Computer engineering Environmental science
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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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using digital twins, such as thermally-steered drug delivery processes for applications in oncology. Your tasks Your tasks (the priorities will be flexibly decided depending on the concrete opportunities
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Díaz (TranSkriptorium AI, S.L.) and Dr. Roberto García González (University of Lleida). The doctoral research will be embedded in the Digital Humanities project “The Lleida Teacher Education College
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and pursues the goal of contributing to the development of a sustainable society in the digital age through research, teaching and administration. The Institute for Software and Systems Engineering
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qualifications Responsibilities: Combine enzyme and process engineering supported by machine learning as described above Participate in training events, workshops and secondments within MSCA doctoral network