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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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on similar topics, especially in the analysis of their data Develop novel projects Generate ideas and data to support new project applications Contribute to the writing of research grants/fellowships in
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 1 month ago
of sustainability in the agri-food sector - Data analysis and curation - R programming Specific Requirements Prior knowledge of database management and statistical and graphical analysis. Knowledge of the agri-food
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universities, as knowledge exchange both within NBIS and externally is a key aspect to maintain cutting-edge expertise for analysis of current and emerging data types. Qualifications The successful applicants
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25 Mar 2026 Job Information Organisation/Company Université de Lille Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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information, please visit about.springernature.com and @SpringerNature. About the Role: We are currently seeking an Associate or Senior Editor with research experience in the environmental sciences applied
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stable isotope analysis, fatty acid analysis or other biochemical tracers used to study diet composition and food-web dynamics. Competence in processing and analysing various monitoring data for population
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carry out experimental protocols adapted to various samples (biological, material). Ensure advanced data processing and analysis (spectra, images, mappings). Maintain, improve, and ensure the smooth