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Field
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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to aging. Specifically, this project will design models to develop biomarkers—particularly those related to blood vessels—to forecast clinical outcomes. This project will leverage unique datasets
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disciplines to develop integrated solutions. Modeling and Simulation: Use simulation and modeling tools to analyze and optimize urban energy networks. Conduct case studies on specific cities to evaluate network
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Eucalyptus plantations. Forest Ecology and Management, 494, 119275. Cornut I. et al. (2022a) Potassium-limitation of forest productivity, part 1: A mechanistic model simulating the effects of potassium
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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) Sydney is seeking a Postdoctoral Research Associate (Level A) or Senior Research Associate (Level B) to pursue the design development and simulations of engineering solutions for fusion energy reactor
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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop