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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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postdoctoral researcher to join the effort to integrate convergent problems into undergraduate courses. The postdoc will be responsible for qualitative and quantitative data collection and analysis. In
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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/Qualifications The recruited candidate should have proven experience in experimental work (setup, data processing, and analysis of results). Skills in nonlinear numerical modeling are also desired. Specific
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experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and medicine) the ability to work effectively in a multi-disciplinary
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bioinformatics analysis and implement new tools Collect, interpret, and analyse research related data and results Ensure proper scientific documentation Document performed experiments and analyses in a lab book
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the numerical simulation group - Creation of microfluidic circuits -Preparation of red blood cell solutions from EFS blood -Endothelial cell culture -Take part to the soundibg rocket experiments with ESA
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and