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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
dimensional tolerances. This sensitivity analysiswill inform parameters and levels of noise used in RL policy randomization to improve the robustness and reliability of policy training. It will also provide
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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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quantum control and noise mitigation techniques to prepare, manipulate, and protect fragile quantum states, improving the performance of mechanical systems for sensing, metrology, and tests of fundamental
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Charpy impact testing Knowledge of magnetic properties and electromagnetic test methods such as magnetic Barkhausen noise and Eddy-current is highly desirable Familiar with machine learning Willingness
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factors, and travel speed, while also studying resonance behaviour and determining the optimal excitation frequencies for maximizing signal-to-noise ratios. Write a doctoral dissertation, publish results in
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for maximizing signal-to-noise ratios. Write a doctoral dissertation, publish results in renowned peer reviewed journals and presenting research in international conferences. Engage in education activities
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energy efficiency, sensitivity to thermal noise, scalability, fabrication feasibility, areal density, and computational throughput. The successful candidate will join a vibrant and collaborative research