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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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students, engineers and technicians in a multicultural and international environment. The recruited candidate will join the Hart team of the Viral Replication Machines (VRM) group, which investigates
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such as ChIP-Seq, ATAC-Seq, RNA-Seq, Cut&Tag or Cut&Run; Background in proteomics is desirable; Experience in bioinformatics and analysis of NGS or single-cell data; Animal experimentation license is
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in
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-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their
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of machine learning algorithms are of real interest in improving the accuracy of water quality measurements, particularly in identifying, accounting for, and neutralizing ionic interference. The second key
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via thermodynamic power cycles. However, conventional expansion machines (turbines or volumetric devices) face significant limitations at low power scales: - Turbomachinery suffers from reduced
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dynamics in Energy Recovery Linacs (ERLs). ERLs are an emerging class of accelerators that combine the flexibility and high beam quality of linear accelerators with the efficiency of recirculating machines
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on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative