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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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(LMFL). Opportunity to work in an interdisciplinary environment combining micro-sensor technology, aerodynamics, and instrumentation. Networking: Integration into the FR TTM CNRS research federation and
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Role: Postdoctoral Research Associate in 2D SPD Arrays for Quantum Networking Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full time (35 hours per week), Fixed term (18
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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collaborate with his peer network, including at the Massachusetts Institute of Technology (MIT) and elsewhere in the US, Europe, and Asia. Salary and terms of employment The appointment will be based
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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team also has experience with multi-sensor systems including lidar, inertial sensing within the context of real-time SLAM and autonomous exploration. The researcher will have the opportunity to establish