87 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" 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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Do you want to contribute to top quality medical research? We are seeking a highly motivated postdoctoral researcher in computational biology to join the Xu Landén group at Karolinska Institutet
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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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collaboration and co-production internationally. Qualification requirements The applicant is required to have a PhD degree in Quantum Computing or Quantum Information Science. The applicant must have completed
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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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14 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher
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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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thin films. We aim to demonstrate their integration in superconducting qubit readout systems and validate KI‑TWPA technology for scalable quantum computing applications. This position is funded through
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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