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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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within the IROKO/INRIA team in Montpellier. The doctoral student's primary mission will be to **develop, adapt, and evaluate methods for estimating sample influence** within the specific context of Pl
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this goal, it is paramount to characterize the added value of using machine learning in estimating and decoding quantum errors occurring in coded quantum systems. Research program: The PhD student will first
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model. - Update the lake-wide distribution map of the mussel in terms of density, biomass, and biovolume. This map will serve as the basis for a theoretical estimate of whole-ecosystem filtration capacity
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one third of general anesthesia in the UK, estimated at 1.1 million intubation procedures per year. Although frequent, these acts are risky and the intubation procedure entirely depends on the operator
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of memory sites. The thesis will be conducted within the ANR-funded project ITS-STORY, a multidisciplinary partnership involving computer scientists, historians, ergonomists, and the Mémorial de l'Internement
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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move axially in its bore over a very short distance and provides a seal between two parts in relative movement (such as a "piston/bore" or "rotor/stator" system). The estimation of leakage rates is
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capacity to engage in interdisciplinary scientific discussions (with biologists, biophysicists, computer scientists, etc.). Applicants must hold a Ph.D. degree and hands-on experience in cell/tissue culture