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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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fully funded 3.5 PhD (GTA) starting in January 2027 for the following disciplines; Biochemistry, Cell Biology, Chemistry, Computational Biology, Genetics, and Sports, Exercise and Rehabilitation Sciences
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Oct 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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functions and linear multiply–accumulate operations directly in hardware. 3. To quantitatively characterise magnonic device performance within neuromorphic computing architectures, evaluating metrics such as
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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related to multiparty computation in quantum networks. The stipend is open for appointment from 1st November 2026 or soon hereafter. The duration of the position is three years. Your work tasks The
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funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Dimas group, at BSRC Alexander
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organisation. Where to apply E-mail [email protected] Website https://jobs.dkfz.de/en/jobs/168859/phd-position-in-computational-biologybioinf… Requirements Additional Information Website for additional
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optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware