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(ISCR), is to design electrochemical and optical tools to analyze this process, enabling determination of optimal conditions for surface functionalization. This will require the development of two new
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perfusion and mechanical stimulation in tumor tissues to investigate their poromechanical properties and optimize molecular transport within explants. The successful candidate will be involved in: - Designing
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 29 days ago
, 2016. [4] Delahaye, Clara, and Jacques Nicolas. “Nanopore MinION Long Read Sequencer: An Overview of Its Error Landscape,” November 23, 2020. https://hal.inria.fr/hal-03123133 . [5] ———. “Sequencing DNA
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fluorescence microscope optimized for imaging individual cells within microtumors. Through this work, the PhD candidate will receive hands-on training in the design, implementation, and optimization of a state
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
critical electronic changes governing CO₂ capture under realistic conditions, providing the essential scientific insights needed to design more efficient, durable, and optimized materials for fighting
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capable of predicting optimal PISA formulations and significantly reducing experimental screening efforts. The successful candidate will receive multidisciplinary training spanning polymer chemistry
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crack initiation and propagation; Development and validation of a digital twin with an appropriate level of maturity; Proposal and evaluation of new cluster architectures; Validation of optimized
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Monte-Carlo simulations to optimize the detector geometry, as well as in its testing and commissioning. It will include as well the preparation of forthcoming experiments at the DESIR facility in GANIL
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an indication of the potential leak location. Based on the previous research works, Leak-scan proposes to use 3D GPR data to optimize the detection process powered by AI techniques. Its objectives contain (1