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confinement in future power plants rely on experimentally inferred scaling laws. These scaling laws give the energy confinement time as a function of engineering parameters like for instance the toroidal
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, seismology, geophysics or a relevant scientific field Have extensive experience in Bayesian statistics, mathematical optimisation and parallelisation of calculations Be familiar with ground motion analysis
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in its CO2-fixing activity. To this end, the candidate will infer ancestral sequences of the CBC enzymes, in order for experimentalists to design strains of two model organisms carrying these ancestral
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: proficiency in Monte Carlo simulation codes, such as GEANT 4 or PENELOPE. Bayesian statistics. • Laser polarisation system: appetite for experimental physics, experience with lasers not required but would be a
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 1 month ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in
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applications. The project aims to address fundamental theoretical questions related to the representation and measurement of the polarization state, as well as the use of Bayesian and/or statistical learning
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
training a classification model to label a given proposal lesion as positive or negative depending on several characteristics of the individual inferences from each of the different available acquisitions
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promotion (oral presentations, articles), • Development of ontologies and inference rules, • Participation in the implementation of validation scenarios in simulated environments. L'équipe « Robotique et
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference