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integration (including environmental sensors and eye-tracking technologies), strong machine learning and deep learning skills (especially embedding models and spatial data analysis), and experience in
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, including cancer genomics and computational biology, cell and molecular biology, cell models (3D and murine), immuno-oncology and imaging. The host lab has a specific interest in lung pathophysiology, and Dr
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journals. - Participating in the supervision of interns and PhD students within the team. Main Activities: - Develop a colorectal cancer model through C. rodentium infection and chemical agents. - Set up and
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Description This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience. 36 months (renewable +12 months) Simulation of navigating ant-agent models
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of Research Experience1 - 4 Additional Information Eligibility criteria - The candidate must hold a PhD in ecology/evolution. - Essential expertise in bioinformatics processing of genomic data - Very good
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observations, CESBIO develops models that are not only explanatory but also capable of providing scenarios for the evolution of these surfaces and their properties under the pressures they face. At fine scales
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Description This position is to be filled within the History of the Mathematical Sciences team at the Institut de mathématiques de Jussieu-Paris rive gauche (IMJ-PRG, UMR 7586, CNRS, Sorbonne université
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, itself part of the LIGO-Virgo-KAGRA consortium, has established a recognized expertise in the theoretical modeling of ultra-dense stellar matter and the development of advanced statistical methods
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until 31/12/2025 Workload 1 607 hours per annum Mission development of predictive models for numerical simulation of material processing Principal activities Development of numerical tools for simulation
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convection often occurs in the form of organized convective systems, and the development of new kilometer-resolution global models and associated tracking tools makes it possible to characterize the impacts