602 postdoc-computational-fluid-dynamics-"Prof" Fellowship positions in United Kingdom
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in marine CFD would be advantageous. What We Can Offer You: You will join a dynamic and supportive research environment at the University of Southampton, with access to world-class facilities including
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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programme of support that will help you to establish you as an independent academic researcher, including assistance with your fellowship application, setting up your lab and recruiting personnel, as
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-cell genomics/computer science (AI), neuroscience, vascular biology, developmental biology, cancer biology, immunology, biology/biomedicine, pharmacy, biomedical engineering, or related fields with ample
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. What We Can Offer You: You will join a dynamic and supportive research environment at the University of Southampton, with access to world-class facilities including our 138m Boldrewood Towing Tank and
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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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successful appointee will be centrally involved in the delivery of the ARIA-funded Forecasting Tipping Points programme , and will work collaboratively with Professor Doug Benn (University of St Andrews) and
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-on skills of microstructure and mechanical properties characterisation of metallic materials, in particular in-situ and real-time studies of the liquid metal flow and solidification dynamics using synchrotron
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required for a series of studies on the glymphatic system - examining the combined effects of genetic, clinical, fluid, and imaging biomarkers on the clinical phenotype in patients with Parkinson’s disease