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-manual dexterous setup to reliably solve complex assembly tasks. The following works conducted at the lab will serve as a basis for the internship: https://cea-list.github.io/cotograspweb/ https://cea
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the understanding of reliability physics, and optimizing their potential down to deep cryogenic temperature. [1] https://irtnanoelec.fr/programme/q-loop-preparer-le-controle-commande-de-lordinateur
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your skills or acquire new ones. Interested? Apply online now. We look forward to getting to know you! Applicant Profile What you bring to the table · You have a PhD in materials science
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equipment. Applicant Profile PhD in Chemistry or Materials Science, with experience in the fabrication of perovskite materials. Knowledge of photovoltaics and tandem solar cells would be an advantage
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
partners at the national level. Applicant Profile What you bring to the table : · You have a PhD in Semiconductor physics, image processing, physical measurements · Key technical
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field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https://photosymbiosis.com/), to apply cryo-ET on symbiotic organisms. You will
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. Basic knowledge about luminescence techniques is not mandatory but will be appreciated. Possible continuation as a PhD thesis. Depending on the results of the internship and the candidate's performance
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now. We look forward to getting to know you Applicant Profile What you bring to the table : · You have a PhD in material science, fluid mechanics or physical instrumentation · Key
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scientific publications during the project. Methods / Means Python, PyTorch, self-supervised learning, multi-sensor data processing and Git. Applicant Profile PhD in machine learning, applied mathematics
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understood, the objective will be to demonstrate and characterize the system for a TRNG application. This work will provide the foundations for a subsequent PhD project investigating how chaotic dynamics