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experimental data in the literature about the impact of the EB welding process on the local RAFM steel microstructure and mechanical performance, esp. in the irradiated condition. The aim of this PhD project is
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, superalloys, smart fluids, space plasmas etc. They have recently been awarded £11m to train PhD cohorts in computation modelling. HetSys is built around a closely knit, highly collaborative team of academics
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relevant mouse model of intensive-care-supported critical illness to selectively target specific molecular pathways. For translational purposes, we will also use human plasma and tissue biopsies and
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View All Vacancies Engineering Location: UK Other Closing Date: Wednesday 03 July 2024 Reference: ENG1766 Background Applicants are invited to undertake a 4 year, fully-funded PhD studentship
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Background Applicants are invited to undertake a 4 year, fully-funded PhD studentship within the Centre of Excellence in Coatings and Surface Engineering (CE-CSE) at the University of Nottingham
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 14 days ago
for a: Reference Number 9362 You will be working on the MIPT projekt: Understanding the acceleration of ultra-relativistic electrons and its dependence on the plasma density Section 2.7 Space Physics and
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physical mechanisms at the nanoscale. The candidate will be recruited within the Plasma and Thin Films team (PCM) and will work in the Thin Films theme (https://www.cnrs-imn.fr/index.php/themes/couches
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the complex multiphase reacting flows at the core of gasifiers. The objective of the present PhD research proposal is to develop and leverage an already existing exa-scale friendly CFD modeling framework
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staff, divided into 5 thematic groups: particle physics, string theory, mathematical physics, condensed matter and plasma theory. The PhD student will be integrated into the mathematical physics group
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backgrounds in materials and deposition techniques, state of the art 200mm and 300mm process lines, laboratories, device learning and modelling. The PhD candidate will be part of the Unit Process Module