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environment and the dynamic to education policy change in at least one of the 4 nations and jurisdictions of the UK. Your application form should address all the person specification points and should clearly
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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should include the following: 1) A copy of your CV (following the MSCA European Postdoctoral Fellowship guidelines; maximum 5 pages). 2) A good quality outline draft of Part B-1 of the MSCA European
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particular in-situ and real-time studies of the liquid metal flow and solidification dynamics using synchrotron X-rays. Good and effective communication and presentation skills and a good team player. We offer
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undergraduate (Bachelor’s/BSc) and postgraduate (Master’s/MSc) programmes, mentor early-career researchers, and engage with dynamic, interdisciplinary networks involving academic, industrial, and regulatory
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staff and particularly encourage expressions of interest from women and BAME applicants. Our dynamic intellectual environment includes the world-leading Cambridge Conservation Institute and University