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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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microarchitectural vulnerabilities and/or prove the robustness, for a given fault model, of various RISC-V based processors [3]. For instance, we apply this methodology to the OpenTitan secure element and formally
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partnerships. The job position will be based at Saclay (20 km South of Paris). Skills and expertise PhD in Economics (already defended or expected end 2025). Experience carrying out and analysing lab or online
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to the lithographic process such as overlay; - Interact and work with a PhD student focusing on the data modeling to understand the acquired data and explore the limitation of the Low Energy SAXS technique; - Define
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Design Space Exploration for Next-Generation Computing Systems. This position in fixed-term contact is based at Nano-Innov (CEA Paris-Saclay), Essonne (91). This position is available as soon as possible
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genes each with 300 to 3k base pairs. To interpret experimental results, it is necessary to simulate several million experiments for each gene with a model having about ten free parameters (>100Mh with
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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to the Institute. One of the challenges will be to establish academic partnerships that will enable the projects to be carried out successfully, particularly the experimental aspects. The job position will be based
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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