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the MicroHH atmospheric model. Analysis of plume dynamics and NOx chemistry in the high-resolution simulations. Develop and refine data-driven methods for emission quantification. Apply your methods to real
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continuous operations at lab scale. In Situ Product Recovery (ISPR) evaluation: Test ISPR methods to boost productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 33 minutes ago
(Bordeaux) and half at Airbus (Toulouse). Safer and cheaper aircrafts require new concepts, and increasingly complex geometrical, physical, and numerical modeling. These new models must integrate multi
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. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
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simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with experimental PhDs and Canon Production Printing
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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will be modelled by analytical and numerical approaches. Existing analytical approaches will be used as a tool to describe the behaviour of fire exposed TRC in tension, while numerical simulations will
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Description at the Leibniz-Institut für Kristallzüchtung is looking for a PhD Student (m/f/d) for the topic: “Kinetic Monte Carlo Simulations for the Homoepitaxy of Ga2 O3 ” Ga2 O3 is a highly promising
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Application deadline: 31 December 2025 Apply now Are you excited to use data and simulation models to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD
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language understanding (to interpret instructions), and action generation (to respond), enabling robots to perceive, reason and act flexibly. The models will be trained on simulated datasets to learn general behaviours