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Physicochemistry of the Nanoplastic Exposome Mechanistic interpretation of the biological effects induced by NPPs requires prior quantitative knowledge of their physicochemical behavior in biologically relevant
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an experimental protocol using high-pressure conditions to circumvent the problem of Se volatility and allow for increased incorporation into the glass matrix. Currently, the behaviour of Se in glass matrices is
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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
fundamental correlations between composition, microstructure, and irradiation-induced behavior, in order to guide the design of high-performance RCCA materials. The results will provide design strategies
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of molecular deformation into local strain and ultimately macroscopic actuation. The SIMULACTOR project aims to develop an integrated multiscale approach to model the mechanical behavior of PPAs. Its objective
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the CNRS Institute of Humanities and Social Sciences and is primarily affiliated with CNRS Section 34 (Language Sciences) and secondarily with CNRS Section 26 (Cognition, Brain, Behavior) of the CNRS
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Additional Information Eligibility criteria The researcher should have the following skills: - demonstrate excellent teamwork and communication skills, - be strongly motivated to conduct high-impact applied
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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modality-specific embeddings, using physics-inspired data augmentations and mixture models (linear/quasi-linear behavior for XRF; non-linear Kubelka–Munk-inspired transformations for optical imaging
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material for an intended structural application. To conduct this study, a nickel-based superalloy (Inconel 718) will be used as a model material because of its broad industrial applicability and its
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral