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supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https
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Observatory (Part Time) Posting Number req25571 Department Steward Observatory Department Website Link https://astro.arizona.edu/ Location Steward Observatory Address 9040 S. Rita Rd, Suite 1500, Tucson, AZ
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) to design an intelligent and scalable IoE energy management strategy; 4) to develop agile IoE fault detection and accurate failure prediction methods; 5) to construct an intelligent energy optimisation system
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methods to understand and predict the adsorption, self-assembly, and protective behavior of N-heterocyclic carbenes (NHCs) on metallic and oxidized surfaces. NHCs are promising corrosion-inhibiting
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, interpretation, and predictive modelling. We therefore seek a new appointment to add capacity to our expertise in this area. We have particular interest in, but are not restricted to, expanding our data science
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to improve predictive models and inform design strategies. Work in Practical Settings — engage directly with NIHE to implement and test research methods in operational housing schemes. This work will equip
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factors such as prediction of plant growth, water pollution, and environmental biodiversity loss. The approach seeks to create robust, explainable models that reflect domain-specific insights, advancing
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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time. In this project, we propose a method for identifying and classifying such emerging asynchronous trends. The goal is to be able to predict how a new emerging trend will develop using similar
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appropriate balance of synergy and complementarity with materials science and engineering research already underway. Alignment with Materials Ageing, Performance, and Lifetime Prediction and a willingness to