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in addressing how gravity and quantum mechanics can be combined. In the project, you will design, fabricate, and measure nanomechanical resonators coupled to superconducting quantum circuits with
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players with diverse needs. The research aims to: Develop an open-source toolkit capable of intelligently adapting game experiences to individual accessibility requirements across different game genres
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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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machine learning challenges: how to learn from limited and heterogeneous data, how to combine data with physics-based models, how to solve inverse problems under uncertainty, and how to build models
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, starting in Novenber/December 2026. The doctoral project will examine whether bacterial extracellular vesicles (bEVs) isolated from stool samples differ according to cognitive performance and menopause
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fluctuations. Next, controlled time-dependent signals and benchmark optical information-processing operations will be used to compare performance at different distances from the phase transition. Experiments
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, you will: - conduct independent research combining field investigations and numerical modelling of multimodal data (taking into account subsurface structural complexity and anisotropy); - develop
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glycans. You will combine glycan-based tools, molecular biology, and biochemical or analytical approaches to identify and characterise glycan receptors that drive influenza host and tissue tropism. We
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benefit from a unique interdisciplinary environment combining the expertise of CNRS-ICMPE and CEA-NIMBE in polymer chemistry, soft matter, advanced characterization, and data-driven materials discovery