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Field
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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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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 | 29 days 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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] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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fields. Combining these techniques enables fast inference with strong physical fidelity, creating a pathway toward real‑time digital twins that fuse live measurements with simulation. This PhD project will