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Field
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intelligence / machine learning, biostatistics, computational biology, or related subject area A track record of previous publications in bioinformatics analysis of large-scale biomedical data, e.g.: omics
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. The candidate will develop and lead an ambitious research agenda in areas such as population health, primary care, prevention, health systems, epidemiology, health inequalities, data‑driven health sciences, and
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research activities in areas including infectious diseases, antimicrobial resistance, hygiene, microbiome science, data-driven health sciences, and digital medicine. Clinical Integration The ideal candidate
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French National Institute for Health Research (INSERM) | Strasbourg, Alsace | France | about 2 months ago
in 2 courses within the University of Strasbourg: Biomaterials and Bioengineering of Health and Intelligence in Health Data (master’s level M1 and M2). Innovative pedagogical practices will be
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control system; Developing, testing and applying advanced data processing tools; Analyzing fluctuation and correlation measurements and comparing the results with theoretical predictions; Building databases
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French National Institute for Health Research (INSERM) | La Reunion, Aquitaine | France | about 2 months ago
severity. Using in vitro and in vivo experimental models correlated with clinical data from clinical and population cohorts from the University Hospital of Réunion, the project aims to characterise
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French National Institute for Health Research (INSERM) | Toulouse, Midi Pyrenees | France | about 2 months ago
High-dimensional phenotyping techniques, such as proteomics and transcriptomics, provide information on the expression of thousands of proteins or genes at the single-cell level. These 101, rue de
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performance analysis in a fully virtualized environment. These tools integrate QEMU-based emulation, external models, and a Python API for performance data extraction during application execution. A-DECA
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a function of the magnetic field angle, will be performed and the data carefully analyzed to isolate the spin-charge and/or orbit-charge conversion signals and quantify the conversion efficiency
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models