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methods and the development or application of computational tools to fluid mechanics problems, demonstrated through scientific publications and/or the numerical codes developed (10%). A2) Criteria
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member of "Carb2Mol" and considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html
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Role: Postdoctoral Research Associate in Numerical Analysis Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 4 Months Rewards and
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
. · apply numerical and theoretical methods to explore magnetic behavior at the atomistic level, · refine the project’s research objectives based on emerging findings, · independently propose and pursue
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
investigations focused on spin dynamics, · Perform numerical simulations to study: - ultrafast magnetization phenomena, - interactions with surface acoustic waves, - propagation of sound waves in the presence of a
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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midge) larvae. Based on these sensitive temperature indicators, they will develop quantitative reconstructions of glacial temperatures using multivariate statistical methods, results that will be compared
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therapy based on the inflammation biomarkers. Proof-of-concept studies for the methods in in clinical settings Where to apply Website https://karriere.ukw.de/en/jobs/11610/marie-skodowska-curie-research
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experimental data with numerical models. Ability to use specialised software and computational tools supporting CFD modelling, as well as basic knowledge of model verification and validation methods using