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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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Science, or Information Science. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data
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learning Bioinformatics and integrative analysis of clinical, histological and molecular data Current research lines include: Immune response characterization in primary tumours and axillary lymph nodes
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Information Work Location(s) Number of offers available1Company/InstituteUPMCountrySpainGeofield Contact State/Province Madrid City Madrid Website http://www.upm.es Street Ramiro de Maeztu, 7. 28040 Madrid
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under said condition. Additional Information Work Location(s) Number of offers available1Company/InstituteUPMCountrySpainGeofield Contact State/Province Madrid City Madrid Website http://www.upm.es Street
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10 Jan 2026 Job Information Organisation/Company CNRS Department Reproduction et développement des plantes Research Field Biological sciences » Botany Biological sciences Technology » Biotechnology
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grants activities, including projects related to Part D Supplementary funding. The role will focus on data cleaning, analysis, and management; assisting with abstracts, manuscripts, and presentations; and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 2 days ago
scientific organisation. Where to apply E-mail personal@hzdr.de Website https://www.hzdr.de/job2178e Requirements Additional Information Website for additional job details https://www.hzdr.de/job2178e Work
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models