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algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation
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workflows into structured representations suitable for AI planning and optimization algorithms. 2) Research Leadership & Mentorship: * Abstract from the practical challenges presented by the work and
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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on research topics related to AI in Education. We are looking for a candidate with prior research experience in both AI models/algorithms and learning sciences/education background. This will help in
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synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and
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geophysical survey and machine learning algorithms. Mainly responsible for processing geophysical/geomechanical data and analysing the data using machine learning. Conducting research, supervising undergraduate
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient