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the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases
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and international research funding. • Strong ability to collaborate with fundamental or clinical research teams. PhD or MD/PhD candidates with no permanent position in France may also apply to the ERC
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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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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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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equipped biophysical analysis platform. 4) Nanobody production. 5) X-ray crystallography facility and 6) Cryo-electron microscopy facility equipped with a Glacios Thermofisher TEM. Requirements A PhD degree
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languages and in R is also required. • Application deadline: 1st August 2025 • Required experience: 2 - 8 years after PhD. • Duration of the contract: 36 months • Salary: Upon experience and according