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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
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emphasis on understanding natural behaviours such as navigation, orienting and reaching. The position offers a highly collaborative environment, with close interaction with researchers at the Donders
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your field of expertise, you will also actively contribute to our institute's user programme and collaborate with researchers within HFML-FELIX and the national HFML-FELIX partnership, as well as with
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within your research line to further explore the unique possibilities of our facility, which will also strengthen our user programme. Strong collaborations exist with experimental and theoretical groups
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of Twente and will work in collaboration with academic and industrial partners, including RWTH Aachen University and Emicap B.V. As a PhD candidate, you will: design, commission and operate a test setup for
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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to addressing the European and global international environment and development agenda. Our projects typically involve active collaboration with Early Adopters at every stage, including design, development, and
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neuroscience and EEG research? Join our ERC-funded project exploring how the brain localises touch and represents the body in space. You will collaborate in an interdisciplinary research team and contribute
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(EO) data can be used to assess different facets of ecosystem functioning in grasslands and forests. Within the project, you will collaborate closely with other PhDs and postdocs to collect field data
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weaknesses of the concepts. 2. The second phase (8 months) involves an iteration to use the lessons learned from the first design to design an improved concept. Furthermore, a larger range of operating