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for understanding questions in geometry and physics. This scholarship is part of an Australian Research Council Discovery Project that aims to develop techniques for the design and analysis of highly nonlinear
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Physics, Theoretical physics, Maths or other closely related subject (e.g. Materials Science with evidence of strong computational background and skills). To apply, please contact the supervisors; Dr Thomas
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complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
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. This project offers a unique opportunity to contribute to both theoretical algorithm design and practical deployment in aerospace systems. Eligibility This studentship is funded through an industrial
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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
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theoretical results with real embedded system demonstrators. A successful outcome of the project is a methodology for distributed control architecture design resulting in resilient aerospace propulsion systems
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) representation (Research Field “Staging Enmity")and (3) physical encounters (Research Field “Enemy Contact”). Our research regions include Europe, Asia and the Middle East. The RTG Ambivalent Enmity targets
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The T-2 group (Nuclear and Particle Physics, Astrophysics and Cosmology) in the Theoretical Division at Los Alamos National Laboratory (LANL) invites applications for open postdoctoral positions in
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synergy across mathematics, physics, and biology whose members are: Senja Barthel -- https://research.vu.nl/en/persons/senja-barthel Antoine Deblais -- https://www.deb-lab.com/ Joanna Ellis-Monaghan https
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the interface between formal verification and automated planning. This is a unique opportunity to contribute to safer, more intelligent systems through a combination of theoretical work and practical