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Field
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of Classical Archaeology and Art, Rubina Raja, at the School of Culture and Society, Faculty of Arts, Aarhus University (AU), is looking to recruit a full-time (37 hours/week) postdoctoral researcher
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially
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simulations and develop control and data pipelines for acquisition, reconstruction, and visualization; provide measurement-driven feedback to the detector team; dissemination of results through publications
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infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization. Draft and edit research reports, policy briefs, and academic manuscripts. Contribute
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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, 2) Geochemical analysis of fossil foraminifera, data processing and visualization, interpretation of results, and preparation of manuscripts and conference presentations, 3) Processing of microCT data
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20 Mar 2026 Job Information Organisation/Company University of Bergen Department Department of Cultural History Research Field History Researcher Profile Recognised Researcher (R2) Positions Postdoc
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-relevant contexts. Our research blends engineered 3D biomaterials with advanced imaging and molecular tools to elucidate biological mechanisms that can ultimately inform therapeutic strategies. We
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 11 days ago
infrastructures and submission standards (e.g., eCTD), and strengthen their competencies in scientific writing, visualization, and interdisciplinary teamwork. Mentor: The mentor for this opportunity is Qi Liu
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forest restoration Develop skills in modeling silvicultural treatment outcomes Acquire advanced data analysis skills in the data management, analysis, and visualization of long-term experiments Detail