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of stabilization or leaching of trace metals in slag. To this end, various chemical, mineralogical, and structural characterization techniques will be used: LA-ICP-MS, HT-XRD, XRF, X-ray absorption spectroscopy
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to enhance regionalization and laminar organization within cortical-like structures. Through these studies, we seek to advance the development of a physiologically relevant human brain organoid model that more
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a highly motivated researcher associate (M/F) with strong background in computational structural biology. The successful candidate will be working on developing AI-based computational approaches
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of the ANR Lamorsim project (https://anr.fr/Project-ANR-23-CE08-0029 ). The main objective of this project is to develop methodologies for achieving controlled laser-induced amorphization of silicon. In this
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(exceptional points, bound states in the continuum, etc.). He/She will in charge of the design of the corresponding photonic structures. To this end, he/she will conduct design/simulation campaigns using not
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properties. Confocal microscopy / microfluidics / microrheology, to link the structural remodeling of the gel to the reaction kinetics occurring within the material. The identified gelation and structuring
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within the LTDS's “Geo-materials and Sustainable Construction” team at ENTPE. The PhD candidate wille be part of the research team on the behavior of road, rail, and airport pavement materials and
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(reproduction, firing, documentation); • Contribute to the development, updating, and long-term structuring of an interactive ceramic database throughout the project; • Take part in field surveys aimed
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the flexibility and 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
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synthesised in situ using a state-of-the-art pulsed laser deposition system. Key characterisations include X-ray diffraction for structural properties and temperature-dependent magneto-optical properties