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27 Mar 2026 Job Information Organisation/Company INSERM U1028 Department CRNL Research Field Neurosciences » Neurophysiology Neurosciences » Neurobiology Neurosciences » Neuropsychology Psychological sciences » Psychology Psychological sciences » Cognitive science Psychological sciences »...
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Posting Details Posting Details Posting Number 0801795 Classification Title Post Doctoral Research Associate- Soil and Water Conservation Working Title Department Agriculture Research Development
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Ref.: 534416 Work type: Full-time Department: Department of Earth and Planetary Sciences (25300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited
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(12) Months, Fixed Term, whole-time post Applications are invited for the post of Post-Doctoral Researcher in the School of Biological, Earth & Environmental Sciences (BEES) and the MaREI Centre in
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(35) Months, Fixed Term, whole-time post Applications are invited for the post of Post-Doctoral Researcher to join the government funded ObSERVE programme in the School of Biological, Earth
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management Crop and soil modelling Crop production Knowledge and skills in organization, time management, Statistical software and data analysis Good publications record in refereed journals Fluency in written
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Applications are invited for the post of Post-Doctoral Researcher to join the government funded ObSERVE programme in the School of Biological, Earth & Environmental Sciences (BEES) and the MaREI Centre in
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Location ESOC, Darmstadt, Germany Our team and mission The Operations Definition and Engineering Team is an expert team responsible for providing Ground Segment and Operations (GS&O) support
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2 Mar 2026 Job Information Organisation/Company Universidad Politecnica de Cartagena Research Field Agricultural sciences » Soil science Researcher Profile Recognised Researcher (R2) Positions
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use