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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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conducive to scientific qualification and provides the opportunity for further academic development. Where to apply Website https://uni-bielefeld.hr4you.org/job/view/4748/research-position-phd-student-m
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, please contact Prof. Dr. Stefan Jakobs (E-Mail: sjakobs@gwdg.de ) Information about the Fraunhofer Institute can be found on the internet at: https://www.itmp.fraunhofer.de/de/institut/standorte
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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of the Collaborative Research Centre (CRC) 1678 on “Systems-level consequences of fidelity changes in mRNA and protein biosynthesis” (https://crc1678.uni-koeln.de ), scientists from different research institutions in
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of the science location Cottbus-Senftenberg further and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and
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contact details of referees via our online application portal for this job posting (reference number 2026-TA-1) at https://www.atb-potsdam.de/en/career/vacancies . Applications received after
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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. Proof of English language skills for non-native speakers (official standardized tests, e.g. TOEFL iBT, min. 60 points) is required. Programme start: summer 2026. More information can be found here https