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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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hydrogen-ammonia co-combustion using experimental techniques, high-fidelity numerical simulations, and machine learning” The competition is open to applicants who meet the detailed requirements set out in
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operation constraints. Operate the simulated electrical model on a real-time system such as Typhoon power-in-loop and Opal-RT systems with physical real connections to the EMS controller to perform
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critical maritime operation or system Collecting and curating operational and security-related data for AI-based threat analysis Training AI and machine learning models for anomaly and threat detection
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 days ago
given reconstruction (considered as an image) from apriori information (the measured data-set, simulations, map of uncertainty). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026
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found on the website: https://hrs4r.agh.edu.pl/ The recruitment procedure is divided into two stages: formal assessment – assessment of the completeness of the application documents and compliance with
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simulation and network-based methods for epidemiological modeling. ● Develop reinforcement learning models for decision-making during epidemic outbreaks. ● Documenting the entire process and all the codes
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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8 Jan 2026 Job Information Organisation/Company Centro de Computação Grafica Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor
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of photometric and spectroscopic observations of variable stars, simulations and programming experience useful in the automated analysis of large astrophysical data sets. Auxiliary requirements Experience in