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in English or Swedish. Closing date for applications: 3 May, 2026 Reference number: 2304-2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba
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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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methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project In
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application: Experience with grey-box, hybrid, or reduced-order modeling techniques Familiarity with data-driven methods Experience collaborating in interdisciplinary research teams Background in chemical
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=UK Back to available jobs Apply We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage
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, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7&validator
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15 Feb 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet, MAX IV, APXPS Research Field Physics Researcher Profile First Stage Researcher (R1) Application
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Researcher Profile First Stage Researcher (R1) Application Deadline 5 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Part-time Is the job funded through the EU Research
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communication skills in English The following experience will strengthen your application: Knowledge of quantum computing concepts, quantum algorithms, or quantum-inspired methods Experience with hybrid quantum
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for Chemical Energy Conversion (MPI-CEC), under the direction of Prof. Serena De-Beer, focused on the development and application of advanced X-ray spectroscopic tools for under-standing processes in biological