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We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is available to UK (Home) candidates only
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equivalent) in any relevant chemical engineering or science subject.Funding is co-funded through Engineering and Physical Sciences Research Council (EPSRC) and BASF . Project summary The Industry Case (IDLA
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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inequalities shape carers’ lives using qualitative and creative methods (e.g. Theatre of the Oppressed, or others). 2) To support the co-production process across our team and partner organisations (e.g. Black
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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to the primary aluminium production, therefore plays an important role in delivering Net Zero. The traditional Al recycling process requires an enormous investment in the scrap Al sorting and the extra cost
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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process. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with
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all of the topics listed above. Informal enquiries related to the position should be directed to Prof Ben Glocker: b.glocker@imperial.ac.uk For queries regarding the application process contact Jamie
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a