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Field
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, and translational research. Proven analytical skills and experience in experimental research. Experience in software development (e.g., treatment planning tools, imaging algorithms, AI-based
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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computing. Research Areas The postdoc will contribute to ongoing and new projects that may include: Quantum algorithms for simulating many-body nuclear systems and neutrino dynamics Qutrit-based and hybrid
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complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior
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and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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performance. Some suggested research topics may include: (i) NISQ algorithms, (ii) quantum simulation of complex many-body systems, and (iii) quantum computational complexity. This list is not intended to be
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
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of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job responsibilities must be performed safely without injury to self or others in compliance with System