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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations to suggest new, original, more effective, sustainable
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
monitoring. Reconstruction of metabolic networks and pathway analysis to understand disease-specific metabolic reprogramming. Tackling data sparsity, batch effects, and heterogeneity in clinical metabolomics
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and optimize biofertilizers or biostimulants based on cyanobacteria and microalgae to improve soil health and agricultural productivity. Study the effects of these microorganisms on crop growth, soil
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audiences. Languages: Proficiency in English and French, both written and spoken. Desired Skills: Teamwork: Demonstrated ability to work effectively in a team in an interdisciplinary research environment
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written and spoken. Desired Skills: Teamwork: Demonstrated ability to work effectively in a team in an interdisciplinary research environment. Project Management: Experience in managing research projects
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magnetic/electromagnetic separation experiments with precision and accuracy, Utilize advanced methodologies and techniques to effectively separate target components from complex matrices using magnetic field
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effectively in a collaborative research environment.
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degraded pastures and enhancing 5 million ha of ICLF by 2030. However, the effects of pasture recovering and ICLF systems in soil C changes and its relevance for Brazil achieve the iNDC commitments remains
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effectively through publications. You have good communication skills and are proficient in English and French, both written and orally. Preferred Qualifications: Experience with scalable perovskite solar cell