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personal and academic development are top priorities. We are committed to curiosity driven fundamental research and interdisciplinary research; we aim at advancing science and addressing the major societal
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17 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Modelling tools Researcher Profile Leading
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, rendering such models robust. The PhD project aims to go the next step, closing the loop between failure and adaptation by developing resilient machine learning. The developed methods will detect when
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how they can be accessed; help design a data categorisation and governance model, aligned with international standards such as FAIR principles; contribute to the development of automated workflows
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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to technical, legal and organizational constraints. As a PhD candidate, you will develop novel decision-making methods that enable robust decisions for heat transition planning despite these data-sharing
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work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. We are committed to curiosity driven fundamental research and
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into practice, so that end users can make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway
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patients. Join TU Delft and LUMC to develop a transcutaneous vascular access, uniting biomaterials, medical technology and clinical nephrology. Job description Fundamental biomedical research and clinical
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project, you will develop innovative light-driven methods to break down plastics selectively and under controlled conditions. You will explore both photocatalytic and photothermal approaches and design