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constraints of contemporary family complexity. The innovative integration of classical (longitudinal) methodology with digital humanities tools and methods (especially large language models) at the intersection
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will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident macrophages and infiltrating immune cells along the periphery–immune–brain axis. About us The research
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across these 3 research lines is to adopt fit-for-purpose and holistic solutions, which typically involve data-driven AI approaches, relying on neural networks, reinforcement learning, graph neural
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controlled environment for studying zeolite formation. HSILs are homogeneous, hypo-hydrated alkali-silicate melts that enable efficient zeolite formation under mild conditions. Molecular modeling and
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in plants, using tip-growing root hair cells as a model. This exceptionally dynamic and elegant pathway is still poorly understood, yet it is crucial for plant development and its interaction with
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academia and practice regarding the cost-effectiveness analysis of safety instrumented systems. You will conduct cost-effectiveness analyses by designing cost models to highlight trade-offs in
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., preregistration, reproducibility) • Experience or interest in R programming for data management, statistical modeling, and visualization • Ability to work in a team • Excellent command of English; French is an
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instrumented systems. You will conduct cost-effectiveness analyses by designing cost models to highlight trade-offs in the implementation of safety instrumented systems. You will evaluate how system design
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of: (1) Simulation framework to model the electric behaviour of large-scale light-duty electric vehicle (EV) charging and discharging as coupled mobility and energy assets in the energy system (2) Models
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) scaling up aggregated control of large volumes of such assets, and (3) predictive support tools for grid operators. Our approach across these 3 research lines is to adopt fit-for-purpose and holistic