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7 Sep 2025 Job Information Organisation/Company CNRS Department Conditions Extrêmes et Matériaux : Haute température et Irradiation Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 27 Sep 2025 - 23:59 (UTC) Type of...
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
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in ecology and evolution, as it underpins our ability to predict species’ responses to climate change and human pressures. Palms are very abundant and often hyperdominant in Amazonian forests, making
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to compare theoretical predictions with experimental observations and measurements. - extend existing stochastic models and develop new models to understand actin dynamics in different contexts
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development to join the INFRES department at Telecom Paris. As part of the PEPR ENSEMBLE programme on the future of digital collaboration, the ACES team invites applications for the PEPR postdoctoral funding
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported
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nonlinearities, reinforcement learning for predictive control, and digital twins to bridge simulation and real-world deployment. The next step is on-sky demonstration, supported by access to telecom and astronomy
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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of pathogen populations to antibiotic treatment across various time scales - compare the predictions of these models to epidemiological data available from public databases in various countries, particularly
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity