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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 12 hours ago
discovery, or functional validation. Proficiency in scientific programming and quantitative data analysis. Ability to formulate testable hypotheses and develop a realistic, innovative research plan suitable
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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the preparation of scientific manuscripts and competitive research proposals through data analysis, scientific writing and presentation of results. LanguagesENGLISHLevelGood Additional Information Work Location(s
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encoded FRET biosensors for mitochondrial functionality. - Implement innovative data analysis protocols and approaches for FRET/FLIM or radiometric FRET microscopy in cultured cell lines - Modify and/or
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and speaking) -Being rigorous, efficient and autonomous -Excellent ability to work collaboratively in a team Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024
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. Description: The participant will engage in a research and training project focused on advancing the use of NASA Earth observations for understanding wildfire impacts and post-fire ecosystem recovery in
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characterization Computer skills (data analysis, statistical analysis, graphs preparation) Publication history in Q1/Q2 journals Ability to work within an interdisciplinary team and join collaborations English
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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing
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communications manager. Your role As a postdoctoral researcher in the project, you take a leading role in the design, implementation and analysis of quantitative survey research on migration and inter-group
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been