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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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FGFs and other lightning-generated high-energy radiation, then using radio and optical predictions from this model to compare against ALOFT observations to ultimately solve the FGF puzzle while
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Learning-enabled control and reinforcement learning Power system operations, planning, and electricity market design Transportation systems modeling and optimization Responsibilities: Postdoctoral fellows
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turbine control is cumbersome yet fundamental to achieve the renewable energy transition and Europe’s climate neutrality goals under the European Green Deal and the Paris Agreement. The Postdoctoral Fellow
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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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].. [1] Salomonsen, C. "A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. " EJNMMI Research, 2026. [2] Thomas, S
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main goal, based on detailed studies of Earth and our solar system, is to develop predictive models to identify habitable planets around other stars. PHAB research activities comprise three interrelated
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 18 days ago
validation of human-based in vitro and computational methods submitted to FDA for regulatory use. The developed models will be used to predict various toxicity endpoints and drug exposure to help provide