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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field, excellent experience and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you will contribute to technologies that expand the capabilities of clinical optoacoustic
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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at national and international conferences and symposia Your Profile Completed university degree and doctorate in physics, materials science, electrical engineering, or a related field Proficiency in laboratory
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
using soft X-ray ptychography and tomography, and present and publish your results at international conferences and in peer-reviewed journals. Your Profile Completed PhD in physics, electrical engineering
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. 3. Experience in reachability analysis, formal verification
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sciences, (bio)-engineering or similar disciplines who is looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm
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: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and