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/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https://emploi.cnrs.fr
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and fabricating innovative microfluidic devices; - Developing experimental methods to measure tissue permeability, elasticity, and compressibility; - Performing transport experiments under controlled
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of Toulouse to gain a better understanding on metal leaching in heterogeneous porous media through an experimental study and reactive transport modeling. The approach will focus on microfluidic experiments
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to demonstrate indistinguishable single-photon emission from single fluorescent defects, by carrying out photon coalescence or Hong-Ou-Mandel experiments. The influence of the environment and nanofabrication steps
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strong background in numerical methods applied to solid mechanics; good knowledge of materials science and experimental characterization techniques; excellent written and spoken English skills. Experience
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
, their use in high-speed manipulation remains largely unexplored. This PhD project aims to develop robotic solutions that exploit compliant and flexible robots for rapid manipulation tasks, with experimental
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
, these experiences will provide a unique combination of experimental and computational expertise, equipping you for careers in academia, large-scale research facilities, and industry. Further information may be
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between experimental characterization and modeling, and increasing the laboratory’s visibility in a research area of strong scientific and industrial interest. Our focus is on non-intrusive temperature and
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should also have a good knowledge of materials science and experimental characterization techniques. Experience with ceramic materials will be appreciated. Excellent written and spoken English skills
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning