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disability and political parties across four cases: Denmark, Germany, Spain and the UK. The role will require using qualitative and mixed methods, for instance; interviews, focus groups, and ethnographic
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with
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-textiles/Wearables. To be successful with your application, you will need to demonstrate: A PhD or equivalent in an appropriate area related the role. A strong background in knit for E-textiles/Wearables
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learning domains. About you You will have a PhD in an experimental discipline (or equivalent qualifications and experience), ideally with experience in fibre optics and low-noise lasers and optical