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existing methods to address such risks, and on how to achieve a better use and exchange of existing protocols and data. The project includes the use of Digital Twins to simulate cascading disaster effects
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edge applications. Tasks and responsibilities: Develop new deep learning, computer vision and multimodal learning methods for pre-training and fine-tuning perceptual foundation models. Actively
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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types of disabilities further complicate this issue, as each group may face unique obstacles during wayfinding and navigation. There is an urgent need for innovative approaches and methods to design and
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Physics
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. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from mathematical machine learning
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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technology, computer-aided design, microfabrication and ‑fluidics, culture of human cells, analytical cell and molecular biology techniques, and bioimaging methods. Analytical and proactive – You combine sharp
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at the Centre for Language Studies at Radboud University. The successful candidate will perform research on foreign accents in human-human and human-AI communication. Research methods include virtual reality, eye