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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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multidisciplinary context. You are proficient in oral and written English and have strong communication skills. You are willing to extend your network and able to talk on technical matters. WHAT WE CAN OFFER YOU We
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computing/GPU clusters and the robot labs. You will work towards a PhD degree. Engaging with scientific and technical research at PhD level, publishing and engaging with colleagues, both nationally and
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is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by Team Personnel Administration based on family status and seniority. A grant
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international conferences and to spend a research stay abroad in other research labs. The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a