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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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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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demonstrated spin-electric excitations through magneto-FIR spectroscopy. To expand the range and depth of these observations, we are looking to develop new molecules and study the effect of synthetic parameters
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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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, France) and at the ESRF ID12 beamline (Grenoble, France), under the co-supervision of Prof. Olivier Isnard (Néel Institute) and Dr. Fabrice Wilhelm (ESRF). This PhD project is co-funded by University