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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
candidate will become part of a dynamic research team at ANU working across robotics, systems and control theory, and computer vision, with the opportunity to mentor colleagues and contribute to our inclusive
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non-relativistic holographic frameworks. The project focuses on establishing and using controllable limits of string theory and holography—particularly non-Lorentzian (e.g. Galilean/Newton–Cartan and
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Network HORIZON-MSCA-2024-DN-01 on Wind farm control and integration in sector-coupled power systems (WindConnect). This doctoral position is part of WindConnect ("Wind farm control and integration in
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internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical growth of high-quality mono/few-layer
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internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical growth of high-quality mono/few-layer
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will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control
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partners, and brings together internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical
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partners, and brings together internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical
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special cases within the broader GDL paradigm. Research in GDL relies on a strong theoretical foundation, drawing on group theory, differential geometry, and representation theory. The performance gains
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control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g