117 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Chalmers University of Technology in Sweden
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on developing synthesizability-aware generative AI for polymer engineering. The positions are for full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology
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the Quantum Technology Laboratory (QTL) and the Department of Computer Science and Engineering . AQPL hosts a large part of the WACQT, providing a strong scientific environment with expertise in
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program
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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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devices, or structured media with properties beyond those occurring naturally. To this end, we combine theoretical, methodological and computational techniques, often in close collaboration with local and
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The department of Computer Science and Engineering is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principals. The department offers
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established groups in telecommunication, remote sensing, optoelectronics, quantum technology, and high-performance computing. About the division and department With more than 30 faculty members, more than 100
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Computer Science and Engineering (CSE) is based in Gothenburg, Sweden. The department employs approximately 300 people from more than 30 countries, and as such the working language is English. The department is
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22 Nov 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 30 Jan
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international collaborations and access to large, high-quality clinical datasets. About us The Computer Vision Group at the Department of Electrical Engineering conducts research in the field of automatic