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inference. We are looking for a PhD student with a strong interest for evolutionary processes and good computational skills. Programming experience is a prerequisite, and experience using the programming
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, optimization, dynamic systems, decision theory, Bayesian inference) ● Is motivated to apply these methods to ecological, evolutionary, and conservation systems; ● Is comfortable with uncertainty, modeling
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to infer laminar burning velocities by extrapolation) will be quantified by sampling multiple DNS. This work aims to enable the robust inference of kinetic parameters directly from simulations
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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. Anastasia Bolotnikova, an expert in Human–Robot Interaction with a strong international track record in the field, and co-supervised by Dr. Aurélie Clodic, an expert in Human–Robot Interaction and knowledge
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within the LTDS's “Geo-materials and Sustainable Construction” team at ENTPE. The PhD candidate wille be part of the research team on the behavior of road, rail, and airport pavement materials and
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BMAD simulation tool, an advanced open-source particle tracking framework, the doctoral candidate will perform start-to-end simulations, benchmark physical models, and explore tolerance studies. Specific