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for a researcher as of the Feb. 1st, 2026 (PhD position) as part of the reserach project BANNER. Your tasks: Develop AI algorithms for real-time fault detection, fault classification, and failure-mode
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for one or more PhD stipends in the field of Protocols and methods for quantum error correction
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of LLMs is desirable. Basic understanding of embedded systems. Familiarity with fault detection, system reliability, or troubleshooting techniques. Strong programming skills (C/C++, Python; hardware
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error detection activities. Partner with JHTV AI/automation leads to address systemic data issues and implement sustainable solutions. Identify workflow inefficiencies and contribute to automation/AI
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Position summary: We
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diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https://staff.curtin.edu.au/discover-curtin/diversity-equity-and-inclusion-at-curtin/ What We
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Multidisciplinary geophysical time series analysis for a new monitoring approach in a multi-hazard environment based on an innovative and dense network deployed near an active fault: the Alto Tiberina case study
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to primary care peer support and medical error disclosure. This position will be at the Assistant Professor rank (without tenure due to funding). Assistant professors WOT are eligible for multi-year