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10 Oct 2026 Job Information Organisation/Company CNRS Department Institut des Neurosciences Paris-Saclay Research Field Neurosciences Psychological sciences » Cognitive science Psychological
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Lab (PI Rachel Carlson) seeks a Research Data Analyst 1 in the area of remote sensing and geospatial analysis. This is a part-time position (20 hours per week). The Research Data Analyst 1 will conduct
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: • Demonstrated experience in planning and conducting interdisciplinary scientific research projects • practical experience with geospatial data analysis, social-ecological systems analysis and mixed-methods
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Cosmology Lab Fellowship (multiple hires expected). Fellows conduct independent research in cosmological data analysis broadly, spanning research in theoretical and numerical modeling of cosmological
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE DELL'EDUCAZIONE | Italy | about 1 month ago
of tools for data collection and analysis, the observation and documentation of practices within the contexts involved, and the analysis and interpretation of the findings. Particular attention will be
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, researchers, and community partners. For additional information and to hear directly from members of our team, please visit: https://facilities.med.wustl.edu/Careers/ The Data Analyst - Emergency Management
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/cod-26ir089 Where to apply Website http://www.unimib.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies
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research fields. Experience in developing and implementing AI-agentic workflows for experimental automation, data analysis, and autonomous decision-making. Demonstrated experience in multi-parameter
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information provided by thermal and fast neutrons, gamma rays, and other complementary techniques. Development of image processing, reconstruction and data analysis workflows for quantitative and multimodal
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developments, publications and international scientific infrastructure networks (EuroBioImaging, RedLab). — Access to advanced technologies in microscopy, scientific computing and data analysis. — Opportunities