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                Field
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                . This position is part of the newly funded project EcoIron of Prof. Y. Tang by a European Research Council (ERC) starting grant. Information Low-temperature electrolysis (/electrodeposition) converting iron oxide 
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                health monitoring technology is typically designed for either (i) individual system components/modules (which would require removing the component from the system, which is not possible in practice 
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                limiting factor, however, is that we do not sufficiently understand how much water is consumed in the production of food and other agricultural products. And once such water footprint accounts are available 
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                Your job The laboratory of the research group is looking for an independent research assistant / analyst (part-time, 24–28 hours per week) at MBO/HBO level to prepare samples and perform analyses 
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                work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable exoskeletons and bionic limbs. You’ll be part of a 
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                introduction of Additive Manufacturing in repair and remanufacturing. A key element here is the tension between IP holders and third-party repairers under the EU’s Right to Repair policy. Eventually, your work 
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                . The intended starting date is around April 1, 2026. Screening is part of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses 
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                strives to improve water efficiency and resilience of its food systems, both on the production and the consumption side (including imports). A major limiting factor, however, is that we do not sufficiently 
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                the plasma & materials processing group (PMP) in the Applied Physics and Science Education department of TU/e. Within PMP, you will work as part of an international team of passionate, dedicated people 
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                on construction and performance indicators. This will require an insight into how to fully automate the discrete topology design synthesis process across system levels and how to learn component descriptions and