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timings) affect the metabolome and proteome of rapeseed seeds. Your findings will serve as molecular fingerprints to support Deep Learning models for hybrid development. Whom we are looking for: An early
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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Economics (m/f/d) (Position number: 14-2025 Postdoc Spatial Equilibrium) in the field of spatial equilibrium modeling, starting on 01.08.2025. The position is initially funded for 18 months, with
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business models; (v) develop nudges to consumers’ choices of dishes based on minor crop food products; (vi) identify policy instruments and governance frameworks supporting the development of minor crops
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and family-friendly working time model and the possibility of mobile working (up to 50% of working time) VBL Ost company pension scheme for public sector employees, as well as a collectively agreed
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on skills and interest): Build “incentive-preserving prediction models” for variables with positive global externalities, based on country characteristics (GDP, population density…) Develop procedures
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Excellent skills in statistical modelling, preferably using R Proven track record of publishing in international peer-reviewed journals as first author Willingness to conduct fieldwork and participate in
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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or animals), animal pose estimation from video (e.g., cows or horses), and plant phenotyping. Modeling microbial and environmental data, with a focus on microbial communities in soil and plants, integrating
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experience in advanced statistical analyses Knowledge of behavioral modeling would be of great advantage High motivation and interest in interdisciplinary collaboration in a versatile international research