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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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and experience conducting social-scientific fieldwork (quantitative and/or qualitative research methods). Excellent interpersonal skills. An excellent command of written and spoken English. Good
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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practically in the lab using commercial rheometers, mechanical testers, polarizing microscopes etc., in addition to bespoke equipment built for establishing the controlled flow at tunable temperature and
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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Join the Centre for Quantum & Technology Theory Full-time, fixed-term position at our Hawthorn campus Scholarship stipend About the Role The Centre for Quantum Technology Theory (CQTT) invites