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Within the Bristol Composites Institute at the University of Bristol there is an exciting opportunity to join our world leading team in the modelling of composite structures’ manufacturing processes
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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This post offers a unique and exciting opportunity for clinical academic training in cardiothoracic or general surgery. Based within a thriving and supportive environment the post will allow
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high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant postgraduate research
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, Statistics, Bioinformatics, Chemistry, Biology, Archaeology). Desirable to have a PhD (awarded or imminent) in a relevant subject and involving statistical data analyses and formal model comparison. Experience
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project focused on the design, development, and operation of high-altitude Uncrewed Air Vehicles (UAVs) for monitoring volcanic emissions used as a real-world proxy to explore Climate Engineering strategies
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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those resistant to antibiotics, through two projects: understanding the hospital sink microbiome and detecting novel pathogens in wastewater. You will use bioinformatics tools and develop pipelines
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and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data including
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data