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of expertise, or in the anthropology of the State. Good command of semi-structured interviews and ethnographic observations. Knowledge of contemporary energy production issues (energy transition strategies
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power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will combine
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professional healthcare practices. To investigate both areas, the postdoctoral researcher will collaborate with Solenne Carof to conduct semi-structured interviews with families of children who have received CAR
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background in organic and organometallic synthetic chemistry, who is highly motivated to work on an interdisciplinary project combining synthetic chemistry, structural and physical characterization of porous
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. The team has the expertise and tools required for structural and optical characterization, as well as the cleanroom technology needed for photonic structure fabrication. Advanced optical characterizations
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relies on the expertise of the BiosCiences group of iSm2 of the construction of hybrid photosynthetic units using copper metalloenzymes (Laccases).[1-3] References: Références: [1] Lazarides, T. et al
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-noise measurements - **Knowledge of mesoscopic physics:** Familiarity with superconductors, quantum physics, Josephson junctions, material band structures - **Cryogenics:** Use of closed-cycle cryostats
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: Purify proteins and characterize their protein partners under different conditions Biochemically and enzymatically characterize proteins Coordinate structural approaches in collaboration with partners
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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and the École Polytechnique, as part of the ANR Rosaly program. The LMS focuses on the mechanics of materials and structures, with a particular emphasis on topics linking mechanics and other disciplines