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Nagaraj: M.Nagaraj@leeds.ac.uk Project summary Liquid crystals are ordered fluids which display birefringence and dielectric anisotropy. These properties allowed them to revolutionise display technologies
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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, FCVD creates a liquid-like layer that fills narrow trenches on substrates before solidifying into films. We will model this across multiple scales, from atoms to fluid flow, using quantum chemistry
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of molecules in biological fluids and gases. Achieving these ambitious goals requires substantial further development of key femtosecond technologies, which will be realised in the frame of a prestigious Max
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Start Date: As soon as possible Application deadline: 1st April 2026 Introduction: Climate change and the race to decarbonize our society is making extreme events in fluids more prevalent. These
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stresses, cascading effects, and systemic dynamics at both national and global levels. It will use a social cartography method, viewing coasts as fluid zones rather than fixed boundaries, to understand how
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
/ plasma research are preferred. Knowledge of computational fluid dynamics is a plus. Strong organisational and communication skills are expected in order to facilitate interaction with several external
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reservoir engineering, the main research is focused on mathematical physics, exact and asymptotic solutions of non-linear partial differential equations, and analytical methods in fluid mechanics. MSc
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Background in acoustics, fluid mechanics, aeroacoustics, and numerical methods. Specific Requirements hands-on experience with computing in C/C++, Fortran, Python, or similar programming languages excellent
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature