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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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About us The UCL Centre for Radiopharmaceutical Chemistry (CRC) is a multidisciplinary research centre dedicated to the development and clinical translation of novel biomedical imaging agents
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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of subsurface processes. You will be responsible for leading the development of the approach, which could include transferring learning from other geographic regions and data types, machine learning methods
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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will allow.) The role will be available for 36 months. About you Successful candidates must have a Postdoctoral qualification (PhD), (or be in the process of submitting a PhD) in Immunology or
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of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early
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Research Fellow in Geosolutions: Subsurface Imaging and Uncertainty for Georesources This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are
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of optical microscopy, fibre laser optics imaging techniques and lubrication. Your prime responsibilities will be the development of the bespoke version of optical setup fitted on the tribometer, its operation
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outcome measures, wet biomarker collection and MRI imaging. Both the EJS ACT-PD Trial and Initiative are led by Professor Camille Carroll (Newcastle University, Co-Chief investigator) and Professor Thomas