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polymeric materials and hydrogels using contemporary synthetic methodologies analyse and interpret experimental data and prepare manuscripts for publication in peer-reviewed journals contribute
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progression in vivo. • Apply molecular and genomic approaches, immunofluorescence/immunohistochemistry, gene-expression analysis, RNA sequencing, and pathway analysis. Responsibilities The successful candidate
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spectrometry-based proteomics, including data deposition and retrieval through the PRIDE (Proteomics Identifications) database, and in bioinformatic data analysis, including pathway and ontology enrichment (ORA
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and
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for adaptation alternatives, setting up, calibrating, and running numerical models to test various alternatives, review of data for quality control, supervision of data entry/data analysis, analysis of research
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research
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21 Sep 2026 Job Information Organisation/Company Universitat de Barcelona Department Biochemistry and Molecular Biomedicine Research Field Pharmacological sciences Researcher Profile Recognised
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills