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part of the Structural Genomics Consortium (SGC) Target 2035 Initiative, a global collaboration in the area of protein science, machine learning and data science towards improving our ability to predict
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in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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collaboration and excellence to create a future that is inclusive and just and have been ranked number one for education every year since 2014 in the QS World University Rankings by Subject. The department
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the last 120 years. We embrace collaboration and excellence to create a future that is inclusive and just and have been ranked number one for education every year since 2014 in the QS World University
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/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
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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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About us We have an exciting opportunity for a Research Fellow to join a dynamic and collaborative team, committed to improving the lives of people living with, and alongside, rare forms of dementia