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Field
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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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Hybrid Multi-Laser Laser Powder Bed Fusion for Next-Generation Metallic Components School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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for delivering GBI’s vision. Essential Knowledge, Skills and Experience: A PhD in a relevant scientific discipline, such as synthetic biology, computational biology and AI, microbial, plant and human cell biology
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as