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(P2X) application. The outcomes will support reliability testing time reduction in design phase and predictive maintenance in the operation phase. The integration of machine learning assisted approach is
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be guided by molecular dynamics simulations to understand the structural origin of the observed variations in mechanical properties. Experimental testing methods will also need to be developed
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You will join the Grand Solution project"DRONES: Drone-Obtained Electromagnetic Signatures" to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
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of the PostDoc project is to performreal-world testing of the shoulder device in healthy individuals and patients with upper limb movement disorders, as well as to develop the machine learning
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fluctuating temperatures across permissive and stressful temperatures. This involves experimental work with model and non-model organisms, including insects and/or plants suitable for testing hypotheses
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hardware development and experimental testing of power electronic converters. Knowledge of shore power systems and grid integration challenges. A strong track record of peer-reviewed publications in high