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experiments, seeing projects through to completion). ● Hands-on experience with immunofluorescence, microscopy, bacterial culture, histology, or sequencing-based methods. ● Experience with animal
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22 Jul 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher Profile First Stage
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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, including appropriate controls, statistical approaches, and methods to ensure reproducibility and scientific rigor. · Independently interpret experimental results, troubleshoot technical and
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within which they will operate, assessing likely effects and defining mitigation methods. Environments addressed include high-energy radiation from radiation belts; solar particle events and cosmic rays
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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research using mixed methods, qualitative and quantitative research designs including interviews, focus groups, surveys, and experiments, analyzing quantitative and qualitative data, publishing in leading
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago
regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop statistical and simulation-based methods for estimating design floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial