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organisation, while MRI metabolic imaging offers a patient-scale perspective on related metabolic and invasive phenotypes. This PhD research will be carried out at the IBGC as part of the ShadowEV-GBM
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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multicolor fluorescence labeling of mouse neurons according to their cell lineages. The team is currently pursuing the improvement of the technology and exploring novel applications. Objectives: A first
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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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candidate who has a strong quantitative background, with a PhD in Computational Mathematics, Applied Mathematics, Computational Mechanics, Geosciences, Acoustics or Simulation engineering. The candidate
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candidate for this position should hold a PhD degree in Electrochemistry, Chemical or Materials Engineering and expertise in X-ray scattering (PDF, BCDI or WAXS) or electron microscopy (HR-TEM). Core
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conference presentations. Présentation of the profile : • PhD or Engineering degree with significant experience in mechanical engineering, energy systems, combustion, optics, scientific instrumentation, or a
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deep learning has led to the emergence of Transformers-type networks whose performance has revolutionized the field. These networks are the basis of next-generation image processing models (such as
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degrees: A Master's or engineering degree in robotics, AI, computer science, embedded systems, computer vision, or mechatronics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6285-FLOLHO
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department