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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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Intelligence, Machine Learning, Computer Science (with focus on AI/ML), Data Science, Software Engineering, or related field. Six (6) years of experience with real-world AI/ML projects, including designing
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development. Demonstrated experience developing applications interfacing with machine learning libraries like PyTorch or ONNX. Demonstrated experience working with large-scale data processing and deployment
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Low maintenance reliable main bearings for large wind turbines Offshore Wind CDT PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce, Dr Thawhid Khan, Mr Wooyong Song, Dr Siren
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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communication tailored to their needs. For further information, see: https://www.physik.uni-kl.de/oscar/ Course organisation During the research work, the PhD student has the possibility to participate in
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19 Jan 2026 Job Information Organisation/Company ERATOSTHENES CENTRE OF EXCELLENCE Department Big Earth Data Analytics Research Field Computer science Engineering » Computer engineering Researcher
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD project offers an exciting opportunity to develop next-generation biocomposites made from
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and computational physics High-energy physics/astrophysics/cosmology Statistical mechanics/complex systems/non-linear physics Machine learning/first-principles calculations/large-scale simulations