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Design, set up, and operate experimental systems for circuit-level measurements and data analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer
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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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programmes: any time Application deadline 15 January, 15 May and 15 September of each year See the website for details: https://medical-neurosciences.charite.de/en/application_admission
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Supervisors: https://www.fz-juelich.de/judocs 30 Days of annual leave and flexible working arrangements, including partial remote work Targeted services for international employees, e.g. through our
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and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual
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faculty at the Max Planck Society and at Oxford University cover all major areas in Computer Science. For more information about the research interests of individual faculty, please visit: http://cis.mpg.de
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | about 2 months ago
at: https://berufungen.uni-hannover.de Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis-bewerbungen/ . Where
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural