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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 7 days ago
"reprograms" the asthmatic bronchial epithelium and its immune microenvironment, thereby modifying the response to subsequent RV infections and amplifying Th2-driven inflammation. The PhD candidate will work
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stability of the material. As PhD candidate you will develop a model framework which dynamically links the pore space dynamics with the pore flow phenomena and vice versa. The topics you will delve
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are seeking a highly motivated PhD candidate to join our
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application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Thrive: Trinity College Dublin's Strategic Plan 2025 - 2030 The PhD studentship is part of the SEAI
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The Faculty of Social Sciences and Solvay Business School, Department Business Technology and Operations, Research Group Data Analytics Lab is looking for a PhD-student with a doctoral grant. More concretely
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The Faculty of Social Sciences and Solvay Business School, Department Business Technology and Operations, Research Group Data Analytics Lab is looking for a PhD-student with a doctoral grant. More
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is aimed at prospective PhD students who wish to conduct research on the fascinating topic of “dust in the Earth system” and who wish to combine model development with the investigation of the role
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used for model validation, including a case study based on a CO₂ injection experiment. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-phd-position-meta-modelling-for-gr… Requirements
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand