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device engineering. You will gain experience on high-frequency operation and measurement of superconducting quantum circuits, which forms the basis of the most promising present paradigm for quantum
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research community. Partial remote work (e.g., 1–2 days a week) is possible, as separately negotiated. Requirements A successful candidate will hold a PhD in mathematics, computer science, or a closely
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science courses focused on battery technologies. Requirements The candidate must possess doctoral degree (PhD) in any or the following fields: Materials Science Engineering, Chemistry, Physics, Mechanical
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researchers. It should also include substantial collaboration with local students and junior researchers. Application process: The initial appointment will be for 2 years, with an anticipated renewal for a
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will introduce the Call, explain the applications and reviews process and answer questions. A recording/Powerpoint slides of this will be placed online. Please sign up to the information session in order
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Business Finland. The project aims to develop energy-efficient neuromorphic computing hardware based on GCMO memristors, with applications in signal processing, AI, and autonomous systems. The positions
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, C++, plasma processes in the magnetotail including magnetic reconnection and kinetic instabilities. We offer a position in a dynamic and international research group, with a possibility to network and
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machine learning and AI venues (e.g., International Conference on Machine Learning, Neural Information Processing Systems) are considered a significant merit. Scientific interest and contributions in
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, Information, Communication & Society, or in general machine learning and AI venues (e.g., International Conference on Machine Learning, Neural Information Processing Systems) are considered a significant merit