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Strong understanding of causality concepts, biases, randomized trials, and trial emulation (target trial emulation) Familiarity with standardized data models (e.g., OMOP-CDM) Genuine interest in applied
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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their metabolic activities to understand their role in carbonate precipitation. The objectives of this work will be to: Map the New Caledonian lagoon and quantify the precipitated carbonate sludge. Model
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. However, while the effects of high doses of IR are well understood in a variety of models, including colon cancer [1], a wide variety of issues and questions remain concerning low dose effects, for which
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cycle progression in a preclinical model. Gut. 2022;71(11). Lesur A, Schmit PO, Bernardin F, et al. Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF. Anal Chem. 2021;93(3) Key Skills
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim
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-free solvents. Thermodynamic modeling studies will be used to determine the choice of solvents. The structural properties and magnetization dynamics will be measured by ferromagnetic resonance. The final
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-matter interactions, optical manipulation and computational modeling to transform innovative ideas and concepts into cutting-edge instruments and methodologies. Our RDI portfolio encompasses all levels
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particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required skills : We
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properties and electrical characterization will be carried out. The results will be compared with ab initio calculations and will provide input for physical models based on real devices to predict key metrics