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. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
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Postdoctoral position, at the Department of Electrical and Electronics Engineering, for the Scientific-Disciplinary Group (GSD) 09/IINF-05 – Information processing systems (SSD IINF-05/A), funded by Sardegna
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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems
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acquisition and accelerate hyperspectral data processing. - Measurement campaigns Selection of samples from various fossil sites studied in the project, in coordination with project partners. Conducting
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Area (EEA) in accordance with the GDPR (the provider's declaration in a continuously updated version can be found at https://cloud.google.com/terms/data-processing-addendum/ (Appendix 3: Specific
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- Study of stability under operation - Development of kinetic models - Reactor modeling The work will be carried out at the ICPEES (Institut de chimie et Procéder pour l'Energie, l'Environnement et la Santé
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. LanguagesENGLISHLevelExcellent Research FieldAstronomyYears of Research Experience4 - 10 Additional Information Selection process The selection criteria include: the candidate's research achievements including publications in
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of the position see https://niri.lv/en/about-niri/vacancies/ Provisional start date October/November 2026 Benefits Basic salary EUR 56 880,- p.a. before tax (the estimated take-home pay (after tax deductions) is
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with other partners involved in the MAESTRO/ORCESTRA field campaign and the MAESTRO team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8539-ISARIC-129/Default.aspx Requirements Research