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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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[ed](: https://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf)ucation, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Post Summary
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-enabled adaptation. The aim is to develop theoretically grounded yet practically deployable algorithms that allow multi-agent robotics to operate robustly in dynamic, uncertain, and interactive environments
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[ed](: https://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf)ucation, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Post Summary
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
photonics and semiconductor technologies, contributing to the development of Ireland’s and Northern Ireland’s deep-tech innovation ecosystem. It seeks to train the next generation of scientists and engineers
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Description About the Project POI is a consortium of academic, industry, charity and clinical partners, working collaboratively to develop the next generation of diagnostic and therapeutic options for cancer
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Agriculture” is a project funded under the action HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network. GreenFieldData will train a new generation of researchers able to tackle digital and green
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research on societal issues. COOLNET also has academic connections with École Polytechnique (Paris), Princeton U. (USA) and PIK (Berlin). Envisioned tasks of the student: Beyond the academic development
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-year contract starting September/October 2026 https://www.eu4greenfielddata.eu/ APPLICATIONS OPEN ON Juanary 5th 2026 Are you an aspiring researcher ready to drive the digital and green transition in
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simulations to study ion transport mechanisms, interfacial chemistry, and membrane stability. The researcher will develop structure–property relationships and work closely with experimental partners to validate