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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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include, but are not limited to, domains where mechanical precision meets intelligent systems: Energy Systems: Apply their knowledge of thermal and kinetic systems to deploy AI for predictive maintenance
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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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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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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
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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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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 2 months ago
while controlling the associated costs. Meanwhile, numerical simulations of permafrost dynamics are highly complex and challenging due to the strong non-linearities and couplings involved in the related
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or intervention strategies are lacking, urging the need for new perspectives on pathogen control. Within this project these perspectives will be explored. To predict correlates of disease against these complex
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such as 10X Visium and Xenium. - Perform quality control, normalization, spatial clustering, and feature extraction. - Apply tools for spatial gene expression visualization and interpretation. Single-Cell
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from