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On the 1 August 2026, the University of Greenwich and the University of Kent formed a pioneering new multi-university group called London and South-East (LASE) University Group. Should you join us
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to evaluate control performance, synchronization accuracy, stability, and energy efficiency under varying environmental conditions. • Plan and execute scaled experimental validation in wave flume and basin
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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for their incorporation into different shoe-related materials such as polymers and composites. Fellows are also expected to aid in the structural characterisation of developed prototypes and carry out the preparation
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) that aims to establish a Green Hydrogen Valley in southern Portugal, integrating the entire renewable hydrogen value chain—from large-scale production and distribution to end-use in key sectors such as
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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underlying biology and functional genomics methods, the candidate will integrate diverse data types at scale. The candidate will apply the latest developments in AI towards investigating our research questions
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explore scientific questions in depth, you will have a strong foundation in biological principles and functional genomics approaches, with the ability to integrate and analyse diverse, large-scale datasets
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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project establishes a scalable framework for automated atomic-scale image analysis that can be extended to more complex defect types, materials, and computational microscopy applications. Fellowship 2