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19 Jan 2026 Job Information Organisation/Company Max Delbrück Center Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 31 Jan 2026 - 11:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer...
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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
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boost its quality-oriented research environment in the metropolitan area of Marrakech. Job description: The Center for soil and Fertilizer research in Africa at Mohammed VI Polytechnic University (UM6P
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on soil biology, microbial ecology, and molecular biology techniques. This position offers an exciting opportunity to contribute to advancing our understanding of microbial communities in soil ecosystems
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. Description of the position: ASARI seeks a Postdoctoral Research Fellow to join a team of agronomy, agroecology, soil fertility management and remote sensing research experts who seek to develop precise
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Posting Details Posting Details Posting Number 0801725 Classification Title Post Doctoral Research Associate- Soil and Water Conservation Working Title Department Agriculture Research Development
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in of one of the following areas (please indicate in covering letter): Marginal and desert environments Salinity management Crop and soil modelling Crop production Knowledge and skills in organization
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Position Title: Postdoctoral researcher – Plant ecology and soil–plant interactions in vegetated photovoltaic systems-in mining site. Duration: 12 months, renewable. Position Summary: We are seeking
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and how to improve it contains, particularly, on its stable form and establish the relationships between SOM and biological indicators for soil health under different land uses). Area of specialization
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth