73 electronic "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Sweden
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the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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experimental research in quantum topoelectronics. We aim to develop novel quantum devices, including qubits, by harnessing electronic correlations and topology in two-dimensional materials. We offer a friendly
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
: [email protected] Webpage: https://scholar.google.com/citations?user=QT3_z5IAAAAJ&hl=en&oi=ao Åsa Arrhenius, Head of Department tel. +46 31 786 26 25 Email: [email protected] If you have any
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software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute
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technology, nanoscience, photonics and future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and
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Investigate the electronic, optical, and magnetic (including magneto-optical) properties of materials (qubits). Device fabrication Use materials as qubits in quantum computing and related fields, single photon
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of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered
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applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than October 10, 2026. For questions, please contact
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qualifications: Master's degree in Engineering (M.Sc. Eng.) or equivalent. Experience in handling and processing medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow