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Field
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to empower younger generations to make art and culture their own. It does so by applying research methods from museum studies, psychology and educational sciences, and visual and material culture. This project
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scientific articles. c) Conducting semi-structured interviews using visual methodologies, including transcription and qualitative data analysis, as well as the writing of the corresponding scientific articles
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
10 Apr 2026 Job Information Organisation/Company Université Sorbonne Nouvelle Department DIRVED Research Field Philosophy » Philosophy of science History » History of philosophy Cultural studies
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RedCap and Qualtrics to collect data and export data. Data visualization experience, making graphs and figures. Excellent written and verbal communication skills. Ability to work independently and as part
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within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
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diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health
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, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is
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, and data visualization. Knowledge, Skills and Abilities Strong proficiency in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib/seaborn) and data visualization tools
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experience, and education. Doing so requires an understanding of enclosures as animals perceive them. While the idea of zoo soundscapes is growing, ‘viewscapes’ (what animals can see, how visible
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program! Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks