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21 Sep 2026 Job Information Organisation/Company Max-Born-Institute Department T2 Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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of the defining challenges of the coming decade, and it is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and
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knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/364056/phd-position-quantum-torsional-… Requirements Additional
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://www.academictransfer.com/en/jobs/364022/phd-position-1-fte-in-the-area-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364022/ Work Location(s) Number of offers
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interactions with CSE activities. Please find guidelines and further information on the website of the PhD School: https://www.cbs.dk/en/research/phd-programmes/admission . Recruitment procedure The Recruitment
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these codes are central to both. Wanna help shape this key technology behind reliable and secure optical communications? Come join us as a PhD student, designing the error-correcting codes behind
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for changes in your work tasks after appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307999/phd-research-fellow-in-gr… Requirements Research FieldTechnology » Environmental
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is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and information theory: designing and analysing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
and D. J. C. Mackay, “Low density parity check codes over GF(q)”, Information Theory Workshop, 1998, pp. 70-71. [11] D. Declercq and M. Fossorier, “Decoding algorithms for nonbinary LDPC codes over GF(q
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition