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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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the levitation via Joule effect. On a negative side, another intrinsic feature of the EML is the generation of fluid flow within the liquid sample. Under terrestrial conditions, this flow is generally strong and
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– Blood Signals”** team investigates the molecular mechanisms controlling the development, maintenance, regeneration, and aging of the hematopoietic system, with a particular focus on hematopoi
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interpreted within a THMC physical modeling framework, in which deformation controls the evolution of permeability, fluid pressure evolves via porous flow, and reactions (serpentinization) modify bulk and
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of electrical charges at extremely small scales. However, these processes occur in trillionths of a second, far too fast for current methods to capture. The ERC-funded UltraWave project aims to overcome
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storage and air/water pollution control, ii) study of material/environment interfaces by developing new in situ/operando techniques based on solid-state NMR, Raman or gas spectrometry, with a particular
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of intestinal strains (commensal and pathogenic) under controlled anaerobic conditions, particularly in iron-limited media, to study their siderophore production. - Investigate the impact of endogenous and
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, multimodal data interpretation, real-time stream processing, adaptive robot control, trust calibration, and edge-cloud deployment. The expected outcome is an inclusive, interpretable, and sustainable AI-based
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this thesis is part of the European doctoral network REFFACTEUR, the 36-month period will be divided as follows: - Months 1 to 9 (9 months): the PhD student will first work mainly in Saint-Aulaye
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accordance with FAIR principles. • Version control for pipelines and scripts (Git, GitLab/GitHub). Development of interactive visualization tools • Dynamic dashboards (Shiny, Plotly Dash) for visualizing viral