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will involve (but not be limited to) applying sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific
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orbital character of electrons in the resulting spin-orbit torques. Activities: - magneto-transport in metallic and magnetic oxide heterostructures subjected to microwaves - magneto-optical imaging
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refine multi-BCDI measurement protocols for imaging hybrid protein-mineral structures. (3) Collaborate with experts from ESRF, TUD, and Weizmann Institute, integrating findings into a geometric frustration
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- work environment: Research Laboratory. - main mission: The goal is to design and prototype a Reciprocating Expansion Machine with a Linear Alternator (REMLA – 200W–100Hz – 10mm stroke), coupled with
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student at the University of Paris-Saclay attached to the doctoral school of Particles, Hadrons, Energy and Nucleus: Instrumentation, Image, Cosmos and Simulation (PHENIICS). This work will be carried out