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are possible (in coordination with Prof Ulrik Egede) or with other Monash supervisors on a case-by-case basis. "Confronting Theory and Experiment at the Large Hadron Collider" "Simulations of Quark and Gluon
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overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify
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, electrical engineering, and computer science. Desirable skills/interests: Signal processing, machine learning, applied optimisation. Objectives: To analyse large-scale data that is reliable and collected from
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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close collaboration with the Structural Biology group of Prof. Raz Zarivach (Ben Gurion University, Israel) to determine information on the 3D structure of silicanins and silicanin-based supramolecular
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
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7 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Computer engineering Mathematics » Computational mathematics Researcher
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research as a doctoral student you will be passionate about using large-scale data to address important questions in cancer research, have strong experience of quantitative analyses, and be a positive
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations