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- Autonomous University of Madrid (Universidad Autónoma de Madrid)
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Field
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translational, combining molecular analysis of human biological samples from clinically characterized cohorts with the possibility of integrating extracellular-vesicle profiling, non-coding RNA analysis and other
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analysis, and validation in coin- and pouch-cell prototypes. The requirements are as follows: Tasks Description: Formulate and screen electrolyte systems (solvents, lithium salts, and additives) compatible
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. Experience in cancer epigenetics and in the use and study of epigenetic drugs, as well as in the analysis of epigenomic alterations associated with therapeutic response. Experience in multi-omics technologies
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is initiated. Experience in electrochemistry, materials synthesis and characterization. Strong expertise in OER/ORR: performance and product analysis. Ability to cooperate with experimental teams
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-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure reproducibility and FAIR data practices: version
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization
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experimentation and animal experimentation diploma Experience in epigenetic analysis such as ATAC, cut&tag Excellent command of English (written and spoken) Proficency in prism, flowjoe, diva VALUABLE Motivation
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websites and reports (using web scraping tools), qualitative content analysis, as well as data collection through surveys and focus groups. The successful candidate will be expected to take the lead and
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catalysis Strong background in optimizing metal-catalyzed transformations We offer A full-time contract for 3 years. Incorporation: November 2026 An international and dynamic environment within a
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fluorescence microscopy, Confocal laser scanning microscopy, Cryo-TEM and/or TEM, SEM, DLS, NTA, Zeta potential, SAXS/SANS, Fluorescence spectroscopy…). Experience in quantitative image analysis and microscopy