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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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the advanced materials and manufacturing research theme. In addition, you will have the opportunity to work closely with a PhD student already recruited onto the project, as well as other project collaborators
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Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields, such as catalysis, adsorption, bio- and
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the advanced materials and manufacturing research theme. In addition, you will have the opportunity to work closely with a PhD student already recruited onto the project, as well as other project collaborators
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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to show leadership in scientific projects commensurate with career level. Skills 8. Quantitative skills for analysis of complex spatial survey data, such as via a GIS 9. Numerical skills appropriate
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the