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, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development of AI Models for prediction of resilience and susceptibility infectious
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broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major
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challenges related to data reliability in monitoring networks, which can affect simulation models or related control systems. Collaboration with multidisciplinary teams will be essential, as the research
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effectiveness. Integrate FDD and maintenance outputs with digital twins, predictive control frameworks, and operator decision support systems within FLARE. Plan, coordinate, and participate in industrial site
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 months ago
control, and coronagraph system modeling. Location: Ames Research Center Moffet Field, California Field of Science:Planetary Science Advisors: Natasha Batalha natasha.e.batalha@nasa.gov 650-604-2813 Ruslan
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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for control” funded by the EU Partnership on Animal Health and Welfare (EUPAHW, https://www.eupahw.eu/ ). Supervisors Dr Timothée Vergne is an Associate Professor of Veterinary Public Health at the National
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more