155 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Forschungszentrum Jülich
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and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates: https://www.fz-juelich.de/en/judocs In addition to exciting tasks and a
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of engineering, medical, social science and philosophical research results within the joint project, as well as philosophical investigations into the social impact of biomechanical enhancement (exoskeletons
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support and training in classical and quantum modeling, quantum algorithms and computation, and battery materials and technology Further development of your personal and interdisciplinary strengths through
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classical and quantum modeling, quantum algorithms and computation, and battery materials and technology Further development of your personal and interdisciplinary strengths through a range of training
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magnetic micro-actuator physics and practical skills for MEMS device engineering. Your Profile: You are studying physics, chemistry, materials science, nanoscience, nanotechnology or a related subject at a
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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ); knowledge of German is beneficial Our Offer: We work on the very latest issues that impact our society and are offering you
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with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient optimisation. The following topics