14 parallel-computing-numerical-methods-"Simons-Foundation" positions at CEA in France
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Proficiency in numerical methods and programming Prior knowledges to Rydberg‑atom experiments, RF field sensing, or related quantum‑sensor technologies will be advantageous We offer: An internship in the heart
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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long repetitive and complex process. (2) Assess how LLM perform and can be complementary to traditional tools used for evaluation (formal methods, using Frama-C and Lazart). Internship tasks •Literature
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, which performs numerical analytics during the simulation. This is necessary due to the ever-growing gap between file system bandwidth and compute capacities. To this end, we are developing the Deisa
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Operando and in situ techniques are becoming mandatory
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. Personalized Federated Diffusion with Privacy Guarantees. 2025. [8] Fang et al. GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023. [9] Bonawitz et al. Practical Secure
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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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efficiency exceeding 15%, based on GaN technology. Methods / Means Analytical, Matlab, ADS, Python Applicant Profile You are working toward a master of research or engineering degree in electrical engineering
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on efficiency in surface, power consumption, and computing performance. Vision Transformers (ViTs) have recently demonstrated superior performance over Convolutional Neural Networks (CNNs) in a wide