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Field
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, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high-resolution regional and global models, evaluate model performance, and
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foundation. Embodied intelligence. This part focuses on robotic agents operating in unstructured 3D environments (homes, offices, industrial sites, shopping malls). The work centres on (a) model-based and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
successful candidate will contribute to research on lithium-ion and next-generation batteries, with emphasis on thermal runaway, predictive diagnostics, and mitigation strategies. Candidates with
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an energy-aware modelling and system identification framework that incorporates computational efficiency into the model development process. Rather than focusing solely on predictive performance, the
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, predictive modeling, or model comparison. Ability to build robust pipelines rather than simply apply standard analysis packages. Strong interest in human behavior, motivation, stress, individual
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., machine-learning emulators, surrogate modeling, AI-assisted model calibration, or pattern detection in large observational datasets) to improve nutrient-cycling representation and reduce predictive
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interim storage Predictive Analysis: Model and evaluate physical-chemical phenomena—such as diffusion, resolution, and bubble evolution, to deliver enhanced predictions of fission gas release (FGR
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Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis, predictive modeling, machine learning, and causal
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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical
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. Design, build, and optimize predictive models of drug response by integrating multi-omic and clinical data, iterating on model architecture and features to improve accuracy, interpretability, and clinical