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the candidate will not be responsible for all the modeling, he/she will be expected to develop a critical mindset and a solid understanding of the generated data to actively participate in the interpretation
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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for a motivated student with a strong theoretical background in human visual perception and visual recognition models, holding a Master's degree in cognitive psychology/neurosciences. The candidate should
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' genomes model. This 'two-speed' genome model stipulates that the genome is composed of two compartments with different architecture, content and speed of evolution. The first compartment, composed of core
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. The work is divided into 4 Tasks : Task 1: System Definition Define, in collaboration with the partners of the associated ANR project, the detailed specifications of the MDAL and its architecture. Model and
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Models (JSDM) will be used to predict community changes and species presence by the end of the century. Based on data on local and scientific knowledge, the recruited person will have to define four key
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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disease models. The project offers training at the crossroads of protein engineering, structural biology, and cancer biology, and will provide the candidate with a strong interdisciplinary skill set that is
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
intelligent decisions. In particular, when low latency is critical, these models are deployed directly on devices at the edge, close to the equipment itself — a necessary condition for smarter, faster