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the supervisors, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios. PROJECT
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to enable data-driven ink optimization. Why Join? Work in the multidisciplinary Processing and Performance of Materials group Work at the forefront of sustainable materials research in collaboration with
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of Technology, will be sought. Optimal conditions for a good work-life balance and a family-conscious company policy. The possibility to work flexibly (in terms of location), e.g., in a home office, is generally
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to provide a synergistic temperature-AQ Early Warning System (EWS) for the UK, as a tool to mitigate such risk. It is an open research challenge and the candidate will be able to decide upon the most optimal
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. This PhD proposal aims to develop an integrated modelling-prediction-control framework that uses extreme-weather-aware AI to coordinate frequency stability, voltage control, optimal power distribution, and
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). This project aims to support clinical adoption of DBTMI by (1) Optimizing the DBTMI prototype; (2) Performing a clinical study of DBTMI vs DM with 600 women; and (iii) Optimizing DBTMI reading and exploring AI
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of cortisol and its metabolites, and data collected from wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case
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measurements, to understand and to optimize their performance, in particular by taking into account new data measurement from real-life devices. Skills For this position, you should meet the following
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optimal control, robust control, distributed control, and model predictive control. A background in power system analysis, dynamics, control and/or converter control is considered a strong advantage
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infrastructure, rolling stock and personnel that need to be aligned by efficient planning and replanning to optimize the allocation of the resources and maintain reliable operations in face of disturbances and