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Field
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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/research/air-water-and-landscape-science ). Duties The PhD project will focus on uncertainty quantification in modelling flow and solute transport in fractured rocks. The work will include numerical
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
environment for managing large ensembles of numerical simulations, applied to sensitivity analysis [Terraz et al., 2017] and meta-model learning [Meyer et al., 2023]. The Datamove team has also contributed
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scientific writing, bifurcation analysis or numerical ocean modeling are considered a plus. Our offer A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
, debris flows, lava, mantle convection, atmospheric and oceanic circulation) plays a central role in understanding climate, natural hazards, and the evolution of terrestrial landscapes. Numerical
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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
PhD project will combine state-of-the-art experimental testing, high-speed diagnostics, and advanced numerical simulations to investigate the response of composite armour subjected to high-velocity
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science. An interest in data analysis and numerical modelling of weather systems and the climate system is essential, while some experience in coding is desirable. Shortlisting and interviews will
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use