138 parallel-programming-"Flow-Analysis-and-simulation-Team" PhD positions at Monash University
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actionable insights for decision-making <b>and</b> planning. Required knowledge AI <b>and</b> machine learning (time series prediction, GNNs, or deep learning) Digital twin design <b>and</b> <b>simulation</b> frameworks <b>Programming</b> (Python, MATLAB, or relevant <b>simulation</b> tools) ...
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actionable insights for decision-making <b>and</b> planning. Required knowledge AI <b>and</b> machine learning (time series prediction, GNNs, or deep learning) Digital twin design <b>and</b> <b>simulation</b> frameworks <b>Programming</b> (Python, MATLAB, or relevant <b>simulation</b> tools) ...
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Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black
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Primary supervisor David Dowe Co-supervisors Paul Lasky Kendall Ackley Research area Data Science and Artificial Intelligence The recent discovery in 2015 of gravitational waves from colliding black
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considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS, Gazebo, Webots, or similar) will provide a significant advantage. Learn more about minimum entry requirements .
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considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS, Gazebo, Webots, or similar) will provide a significant advantage. Learn more about minimum entry requirements .
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work
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: A benchmark or simulation environment for testing how medical AI systems behave under adversarial, privacy, and prompt-injection attacks. Security-Aware Medical AI Framework: A novel defense
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: A benchmark or simulation environment for testing how medical AI systems behave under adversarial, privacy, and prompt-injection attacks. Security-Aware Medical AI Framework: A novel defense