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. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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research group of IDLAB is seeking a highly motivated and talented PhD student to join its team. DECIDE conducts research on Distributed and Embodied Computing in Dynamic Environments. Our research spans
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platform featuring distributed computing within a mobile network of resource-constrained devices will be designed. Incorporating uncertainty-aware AI models will enhance trustworthiness and maximize resource
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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The planned selection process is as follows: Those interested must access the website where the university publishes all the offers: https://talenthub.upc.edu/en/jobs/r2/r2-jobs/r2-jobs select the
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to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries that actively support the power grid to facilitate the deep integration of intermittent renewable
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demand, and is central to UK Energy Security and Net Zero policies, however, it also generates significant amounts of radioactive waste. Legacy, current, and planned UK nuclear facilities will generate
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cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Runtime Security Assurance. Once trained, AI models can be
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Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education Terminal academic doctoral degree (i.e., PhD or similar terminal degree) in relevant