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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
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) Observer design Data-driven approaches Machine learning methods Fault detection and isolation This PhD position is part of the project on ‘Holistic Design Automation for Semiconductor Manufacturing Equipment
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and resilience in Cyber-Physical Systems through four integrated pillars. First, it develops hybrid frameworks for fault and attack detection that combine physical and cyber models with advanced
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reasons to work at Curtin, please visit https://staff.curtin.edu.au/discover-curtin/ Join us! Please click APPLY NOW ensuring to attach the following documents: Updated Resume Cover Letter addressing
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Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento@lnec.pt The above activities shall be conducted
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of the present notice. Should the candidate be unable to produce such document, without any fault on his/her part, he/she may replace it by a sworn declaration stating that he/she has been enrolled in the said
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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods
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with no more than three moving violations and/or at fault accidents within the past 36 months, and no convictions or deferred dispositions for Driving While Intoxicated (DWI) or Driving Under
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this role, you will: Develop LLM-based models for fault detection, diagnosis, and predictive maintenance of renewable energy systems. Contribute to the design and implementation of advanced data pipelines
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advanced protection strategies and innovative fault-tolerant circuit topologies. The research will address faults from the component level to the system level. Initially, fault detection techniques