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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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of the group For more information, please contact professor J.S. Coron (jean-) or check the website www.crypto-uni.lu . Your profile Master's degree in computer science or mathematics Good programming skills
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academic research on the topic of the research project Publication list (if applicable) Two recommendation letters from previous professors Copies of diplomas, transcripts with grades (English translation is
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of psychology, digital health, and artificial intelligence to advance the development and validation of voice-based tools for mental health monitoring in diabetes. The project will leverage data from the Colive
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data collection) Communication with project partners and independent instruction of student assistants Administrative responsibilities within the project Data analysis and publications in peer-reviewed
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. We will link molecular programs in specialised myonuclei to sensory-motor coordination sensory-motor coordination through eye-tracking and visual acuity assessments (collaboration with NeuroPSi Paris
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18 Mar 2025 Job Information Organisation/Company CNRS Department Centre de Recherche et d'Enseignement des Géosciences de l'Environnement Research Field Environmental science Biological sciences
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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and neural computation. By leveraging the rich data repository on the larva’s neural connectome and muscular structure, the project seeks to create accurate simulations that can inform biological