281 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Manchester
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of application advanced numerical and experimental methods for simulating fluids and multi-physics including mesh-based methods, spectral methods, and particle-based methods applied to multiphase
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research and teaching in digital engineering for fusion energy, developing and delivering the computational tools needed to meet the formidable engineering challenges this exciting field will face over the
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) in engineering, maths or physics, on research topics directly related to one or more of computational fluid dynamics, turbulent flows, aerodynamics, flow control. Experience using CFD software such
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fundamental research and wants to help shape an emerging area of study from an early stage. Applicants should have, or be close to completing, a PhD (or equivalent) in fluid mechanics, physics, engineering
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The University of Manchester has a strong history of research into offshore renewable energy, with leading international activity in wave hydrodynamics and computational engineering. We are here
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The Particle Physics group at the University of Manchester has a vacancy for a Research Associate to work on the ATLAS experiment at the CERN LHC. The Manchester ATLAS group consists of seven
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We are seeking a motivated and collaborative individual to join the Digital Manufacturing Lab as a Research Associate for Manufacturing-Oriented Computational Design. The project aims to develop a
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methods. This position, funded by an UKRI grant managed by Dr Floriana Tuna (https://research.manchester.ac.uk/en/persons/floriana.tuna/), involves close collaboration with the University of Rhode
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We are seeking a motivated and collaborative individual to join our team as a Research Associate . This role offers an exciting opportunity to contribute to research into the electrical and optical characterisation of defects in high aluminium content AlGaN with a view to increasing the...
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design and testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on