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to advanced technologies, including pre-clinical tumour models and patient-derived samples, and will contribute directly to research with clear clinical relevance and impact. Key Responsibilities - Lead
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Prof. Andy Cooper FRS, and Dr Gabriella Pizzuto
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manufacturing. The role sits within the £13M EPSRC Hub for Advanced Long-Acting Therapeutics (HALo) (https://www.liverpool.ac.uk/celt-global-health/halo/), a nationally leading initiative spanning universities in
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the rheodialysis technique with spectroscopy devices using Netzsch¿ rheometers and proprietary software so that it can easily utilised by Netzsch customers for quantifying controlled release in any industry
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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chemistry or chemical engineering, a strong publication record, a pro-active approach and strong expertise in gas phase heterogeneous catalyst testing and in catalyst synthesis and characterisation. The post
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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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, particularly by providing expert advice in AI/ML-driven materials chemistry. This post will suit an ambitious individual motivated to produce step-change advances in new materials discovery and synthesis by
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Engineering, Physics or Materials Science and skills in crystallography (including advanced skills in solving crystal structures) as well as the ability to take responsibility for research planning and