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permanent and temporary grasslands. These results will clarify the potential contribution of grassland ecosystems to achieving France's 2050 carbon neutrality goal. Where to apply Website https
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to the development of the project. Participation in the collection, organization and maintenance of databases and technical information generated by the working groups. Where to apply Website https://www.iisaragon.es
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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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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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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of programming and data analysis (Matlab, Python, etc.). 4) Extensive knowledge of immunohistochemistry. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5297-MELDES0-303/Default.aspx Work
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cardiovascular focus. Proven expertise in RNA-Seq and integrative multi-omics analysis and interpretation. Proficiency in R, Python, or similar programming languages. Experience in using omics data to provide
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es