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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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co-managed by two deputies: Christian Vestergaard, a theoretical physicist, and François Laurent, an applied mathematician and software engineer. The laboratory’s research is centred on uncovering
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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signatures. We hypothesize that this unique program may represent an ancient state of some skeletal muscles fibres and be required for unique mechanical functions. This project aims to address the following
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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Positions Country France Application Deadline 16 Apr 2025 - 16:00 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by