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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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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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, 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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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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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
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. Applications sent by email or any other means will not be eligible. Only one application per person will be considered. In case of multiple applications, only the first application submitted will be taken