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looking for your next challenge? Do you have a background in machine learning or fluid dynamics and an interest in applying your skills to understand the dynamics of Earth’s fluid core and space-weather
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engineering. Such changes can often be informed through mechanistic understanding of the destabilising processes. About the role This industry-sponsored project will explore molecular dynamics simulations
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About the Role We are currently inviting applications for the position of Research Fellow to join the dynamic team at the Smart Sensing Lab (www.SmartSensingLab.com ), led by Professor Eiman Kanjo
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open to discussing flexible working arrangements. Are you a current University of Leeds student with an interest in research? Would you like to gain valuable experience of working as part of a dynamic
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desirable experience includes: Research in foldamer chemistry or atroposelective synthesis, applying advanced NMR methods to study molecular dynamics or conformations, and a track record in preparing funding
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plant. The post-holder will benefit from bioprocess development expertise and mixing and experim ental fluid dynamics from Professor Martina Micheletti’s group. About you You will hold a PhD in a relevant
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solid mechanics and fluid mechanics. Proven hands-on experience with code development for computational fluid dynamics or computational solid mechanics using the finite element method. Demonstrable
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of award outcomes; producing statistics and summary reports; and the maintenance of effective information databases. We are seeking a proactive and collaborative individual to join our dynamic Research
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence
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we are seeking a scientist who understands and enjoys challenges in atmospheric and climate dynamics, weather prediction and predictability. You will take a lead on the deployment and evaluation of a