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an interdisciplinary framework as part of a joint research program. What will be your tasks? We are seeking a highly motivated candidate to join the newly established Collaborative Research Centre “Carbon Sequestration
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special payment
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this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
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to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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within a joint research programme. What will be your tasks? We monitor the ecological status of the Baltic Sea as part of national and international programs. A central component of this work is nutrient
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The Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) in Jena is a federal and state government-funded research institute and member of the Leibniz Association (Leibniz-Gemeinschaft). FLI conducts internationally recognized, high-impact research on the biology of aging at the molecular,...
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset