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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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learning models will be employed to anticipate coverage changes and manage gateway handovers proactively. This predictive approach is intended to minimize packet loss, reduce latency, and ensure continuity
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Overall, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination
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intelligence methods and models suited to the objectives of monitoring and predictive maintenance. Data collection, structuring, and preparation: Setting up pipelines for collecting operational and expert data
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. Transforms complex institutional data into actionable insights that inform planning, budgeting, and strategic initiatives. Develops predictive and statistical models, prepares analytical datasets using SQL and
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, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by research focus
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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models