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Tenure Track Assistant Professors in Theory and Freestanding Oxide Membranes for Energy Applications
for advancements in the emerging fields of ionotronics and twistronics. The candidate in the theoretical position will advance algorithms and computer simulations within the Section for Atomic Scale Materials
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mathematical or computational algorithms. Strong scientific programming skills. Evidence of the ability to conduct research independently and to identify and address challenging research questions. Evidence of
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Level A) Based at our vibrant and picturesque St Lucia Campus About This Opportunity Join a growing, collaborative research team developing innovative quantum algorithms for decarbonisation applications
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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in one of the following four topics: 1) quantum algorithms for combinatorial, discrete, continuous, stochastic, robust, or multi-objective optimization; 2) hybrid quantum-classical methods, including
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm on Embodied AI for Intelligent System. Conduct
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well as committees and ad hoc working groups Major Responsibilities Workflow Automation Gather, Analyze, and Present Data Implement and Test Algorithmic Solutions Coordinate Course Feedback Processes Operational
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 5 hours ago
machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use