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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation modeling. A quantitative
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of applicant’s scientific publications (submitted in full biobliographic description) and their copies (submitted together with a copy of journal’s cover and contents page); (if a scientific article in not yet
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of applicant’s scientific publications (submitted in full biobliographic description) and their copies (submitted together with a copy of journal’s cover and contents page); (if a scientific article in not yet
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environmental impact assessment for primary extractive industries; disused boreholes particularly from hydrocarbon prospecting are a major and unquantified source of methane emissions, as are the various processing plants involved
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partners as well as our partners from ICRISAT, India. Your tasks in detail: Extend the existing process-based model to allow the simultaneous simulation of 3D root architecture development, release of
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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significant impact, both on the flow and on the reflection of acoustic waves at the ground. Predicting wind turbine noise therefore relies on numerical simulations. Numerous numerical methods have been