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and actuate [2], which opens new possibilities for controlling cellular function. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami
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the first stage, we will thoroughly investigate the structure and quantum control capabilities of the proposed strongly polar molecules. Next, we will develop an optimal method for encoding qubit states on
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and actuate [2], which opens new possibilities for controlling cellular function. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami
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command of scientific English (both written and spoken) is required for writing publications and communicating results. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR3224-ANNMIC
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on experimental data which you acquire. You publish the research results in scientific journals and present at international conferences You contribute to the supervision of master and PhD students At least 70% of
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects of climate change and sustainability research and education. Achievement of the expected
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, Shunlei Li, Sara Moccia, Giorgio Peretti and Leonardo S. Mattos, “Automatic Delineation of Laryngeal Squamous Cell Carcinoma during Endoscopy,” Biomedical Signal Processing & Control, https://doi.org
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
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stakeholders and external clients/sponsors. Ensure all data handling and analysis comply with stringent data security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data