94 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Sweden
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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microwave quantum technology based on hybrid semiconductor-superconductor devices. Subject description The position is funded by a Wallenberg Proof of Concept Grant within the WACQT area. The project is
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international partners and connections to industry. We are now looking for a postdoctoral fellow interested in microwave quantum technology based on hybrid semiconductor-superconductor devices. Subject
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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, implement, and benchmark numerical algorithms Run and analyze simulations Collaborate across disciplines (e.g., quantum computing, computer science) Contract terms The position is a temporary full-time
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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this is for you! About us The Hybrid Quantum Systems Laboratory is a new laboratory at Chalmers in the division for Quantum Technology at the department for Microtechnology and Nanoscience (MC2). We offer
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15 Jan 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Application Deadline 11 Mar 2026 - 22:59 (UTC
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group is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create