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governance framework, including internal controls, fiscal policies, delegations, and cost recovery methodologies. Design and oversee the College’s budget structures and cost‑recovery approaches, ensuring
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for designing and predicting quantum materials/systems/devices; error correction and fault-tolerant architectures; novel quantum algorithms for near-term and fault-tolerant quantum computing; quantum advantage
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher with strong expertise in fault detection, diagnostics (FDD), and preventative/predictive maintenance
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commercial and open source cloud computing platforms designed to support the development of predictive analysis models. In addition, he/she will design and implement backend and frontend software
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spans quantum mechanics, statistical physics, and deep learning and aims to enable AI-guided predictions of synthesizable and functional materials such as energy storages, catalysts, smart-alloys, energy
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Optimization (AI/ML) Developing AI/ML models to predict drillability issues based on mechanical rock properties Real-time parameter optimization (WOB, RPM, flow rate, etc.) using machine learning techniques
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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, socioeconomic context, and health data to understand, predict and prevent cardiovascular, neurovascular and other non-communicable diseases (NCDs) in the Brussels Capital Region. Research Context Urban
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preventive and predictive maintenance on complex commercial HVAC systems, domestic hot water generated systems and system controls. Diagnose and trouble shoot equipment and system problems and make repairs