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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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holds many of the UK's national collections and houses some of the greatest resources for the study of architecture, furniture, fashion, textiles, photography, sculpture, painting, jewellery, glass
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contribution of 17% superannuation applies. Full Time, Fixed Term position for 12 Months! We are seeking a Postdoctoral Research Fellow (Structural Engineering) to be based within the School of Architecture and
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resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with academic and industry partners
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30 groups, about 150 PhD students and over 500 employees, we are a lively and dynamic international community of researchers who investigate with curiosity biological phenomena ranging from