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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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science, and two more are for photoemission and electron-ion coincidence studies on gases, clusters and liquids. There is also a port for the user-defined experiments. A description of the beamline can be
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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Sahlgrenska, we are working to advance AI-based decision-making systems, specifically designed for medical use. Information about the division and the department The Department of Computer Science and
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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X-ray Science. AMBER is funded by the EU Marie Skodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call, with each fellowship lasting 36 months. AMBER has six core
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Ref no: ORU 2.1.1-03066/2025 We are looking for up to two postdoctoral researchers in Computer Science, specializing in Cybersecurity and Embodied AI, for a fixed-term position at the School