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of behavioral responses, particularly pain-related outcomes, alongside detailed analysis of tissue inflammation and degeneration. In parallel, cellular studies using human primary cells will provide mechanistic
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gradients. The indicative timetable for this doctoral project is: 0 to 12 months: Experimental development of the photoacoustic instrument and automated acquisition sequences. Development the analysis method
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the long-term immobilisation of nuclear waste storage matrices. At this stage, it will be interesting to link our observations at the atomic scale with the analysis of macroscopic properties. All
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topics: Analysis and implementation of advanced quantum networking protocols. Trade-offs in quantum resources required for distributed architectures. Topic 1 is primarily of experimental nature and Topic 2
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part of this project, the thesis will focus, on the one hand, on a detailed analysis of gas phase inhibition kinetics by combining experimental and numerical studies to determine global parameters (auto
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programming skills for data analysis. • Strong laboratory skills, rigorous attention to detail, and an enthusiasm for interdisciplinary research spanning biophysics, structural science, and virology
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 22 days ago
individuals to undertake large-scale paleoepidemiological and phylogenomic investigations. In this context, this PhD project will focus on the analysis of ancient DNA virus genomes to reconstruct past viral
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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clustering analysis using Voronoï tessellations particle tracking and shadowgraphy measurements, will be used to quantify particle size, velocity, and spatial organisation. These experiments will be
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based measurements to quantify frictional drag and wall shear stress. The project offers hands-on experience with state-of-the-art experimental facilities and provides training in data analysis