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Field
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between Departments is important to the role which will be based in the Materials Innovation Factory. The post will involve leading an iterative programme of applied polymer chemistry and materials science
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data
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teams. The Person The successful candidate will demonstrate: Qualifications: PhD in Civil Engineering, Geophysics, or a related field. Technical expertise: Experience with NDT or remote-sensing
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infrastructure as part of the ROSEHIPS multi-institution program grant (EP/W005816/1, pbshm.ac.uk). The researcher will be based with a sub-team of researchers from the Vibration Engineering Section
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to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
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other postdocs, research assistants and PhD and project students. The research group aims to apply the latest advances in molecular biology, immunology and neuroscience to better understand the mechanisms
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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Ecosystems to join the Institute for Design Informatics, Edinburgh College of Art. The Opportunity: This is an exciting opportunity to contribute to a major European Commission-funded project focused on data