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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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modelling to evaluate additive and interaction components of mixture performance. Your qualifications and skills: Ideally, you are enrolled in a Master’s program in plant sciences, crop science, plant
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changes during fermentation and drying processes Proficiencies in computational process modelling and statistical data analysis Excellent publication record and proven success in attracting third-party
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position as Research Associate / PhD Student (m/f/x) in Theoretical Biological Physics (Modeling sarcomere self-assembly) (subject to personal qualification employees are remunerated according to salary
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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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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comprehensive, annually updated Planetary Health Check – a science-based diagnostic of Earth’s vital signs (https://www.planetaryhealthcheck.org/ ). Through advanced modeling, AI-driven analytics and high
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from certain countries (see list of countries ). In the event of documented funding issues the Humboldt Foundation is also willing to explore individual solutions and potentially agree exceptions also
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will do You will support the analytical and data-driven modeling of systems such as free coolers, heat pumps, and piping networks (among others). You will implement these control models in software and