25 modelling-and-simulation-postdoc Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM techniques to evaluate vibro-acoustic performance. Experimental field/laboratory testing of large-scale prototypes in real
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. Mendonça. You will investigate ocean and sea-ice dynamics on Earth and the icy moons of our Solar System, using the state-of-the-art Oceananigans model. Over the two-year appointment (1 + 1), you will also
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this will involve the development of novel ML/DL methods which leverage both computational and experimental data. Candidates should also have experience of numerical modelling (e.g. CFD and FEA), working as
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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We are seeking a highly motivated Postdoctoral Research Associate in the field of Theoretical and Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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, German Research Foundation. The selected candidate would conduct research at the interface of theory and application. The project seeks to develop mathematical models for allocation of critical resources
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Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy (TRXPS) experiments of gas phase molecules. The successful candidate will be based in Southampton and work in
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. The project will involve experiments at Free Electron Laser Facilities and subsequent analysis and modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of