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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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to the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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simulations, and hardware prototyping. The doctoral project focuses on developing novel concepts for VCO-based detectors for EPR imaging, implementing and testing hardware prototypes, and performing advanced
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11 Sep 2025 Job Information Organisation/Company Zürcher Hochschule für Angewandte Wissenschaft ZHAW Research Field Engineering » Simulation engineering Engineering » Chemical engineering
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11 Sep 2025 Job Information Organisation/Company Zürcher Hochschule für Angewandte Wissenschaft ZHAW Research Field Engineering » Simulation engineering Engineering » Chemical engineering
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and