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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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individually, make a real difference. The role The Computer Science Research Centre at the University of Surrey is seeking to recruit a research assistant in the field of applied cryptography and secure systems
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of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven research and practice
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) programme. The international, interdisciplinary, and cross-sectoral network gathers together leading experts in basic and applied soft matter and food sciences to train a new generation of young researchers
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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well as physiological responses. You will be working with an interdisciplinary team. We welcome applications from people with a broad background in Electrical Engineering and Electronics, Computer Science, and/or
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engineering, embedded systems design, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and / or time series analysis is a