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language (preferably R). Experience in statistical data analysis and visualization. Knowledge of salmon and salmon physiology The ideal candidate will combine the following personal qualities: Hard-working
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assemblies in sperm in a near-native state using cryo-ET (‘visual proteomics’), (ii) developing expansion microscopy approaches for robust labeling and higher-throughput mapping of newly identified components
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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Europeia ID - Association for Research in Design, Marketing and Communication | Portugal | about 2 months ago
16 Jan 2026 Job Information Organisation/Company Europeia ID - Association for Research in Design, Marketing and Communication Department UNIDCOM Research Field Arts » Visual arts Researcher Profile
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holder are: Perform Business Intelligence & Analytics work, including data integration, cleaning, transformation, analysis, and visualization; Carry out scientific work in coordination with technical and
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; experience in either is a plus, not a must. Strong motivation to advance data analysis or modeling is essential. Proficiency in scientific programming (e.g., Python, Fortran), version control, and reproducible
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analysis, visual methods, and mix-method (statistics, other quantitative and qualitative research) skills; Strong scientific English writing skills; an experience in academic or professional publishing is a
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Lab studies lipid metabolism in hepatocellular carcinoma and hepatobiliary disease in dogs and cats. The Research Assistant will contribute to data collection, processing, visualization, analysis
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student Data-driven precision medicine and diagnostics encompasses data integration, analysis, visualization and data interpretation for patient stratification, discovery of biomarkers for disease risk
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promising solution, enabling three-dimensional visualization and, when combined with dual-energy CT (DECT), material discrimination and compositional analysis. This project aims to establish a non-destructive