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predictions of the models. Placement: La Rochelle Université, laboratory LaSIE, UMR 7356 CNRS Recruitment: fixed-term contract 12 months Working hours: full time Contract starting: Spring 2026 Salary: According
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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predictive models to quantify shrubification risk; and (iii) investigate the implications of shrubification for water markets and policy. Teaching & Engagement: Contribute to climate fluency and sustainability
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disruption of the electrical impulses, and can cause a lethal stop of the heart beat. Prediction whether a newly found gene variation is dangerous or not is difficult and requires a lot of experimental work
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data
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, titanium, and reinforced thermoplastics, using innovative manufacturing technologies based on Friction Stir Welding (FSW) and Additive Manufacturing (AM). Additionally, predictive models of the mechanical
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(iii) the integration of enzymatic ex vivo models with advanced constitutive and damage laws. In the longer term, this work will contribute to a predictive framework of menopausal tissue fragility, as a
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. The models will be used to predict dynamic responses to stressors, sleep disruptions, and diagnostic tests, as well as the long-term changes that occur during disease. A key challenge of your work will be
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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Your Job: Remote sensing data from satellites are an extremely valuable information source to improve air quality predictions. They monitor aerosol and trace gases often with global coverage, which