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on the interplay of liquid and solid components and energy in biological materials and how properties of these materials emerge from their structure. Your tasks In this experimental project, we will investigate how
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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of satellite and ground‑based observations to characterize vertical coupling mechanisms and their temporal variability. The position also contributes to the planning of future satellite missions, with a focus on
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Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Department of Marine Zoology
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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- Integrating exudation into the root economics space to better understand carbon and nutrient cycling in managed grasslands” is part of the DFG Priority Program 1374 “Biodiversity Exploratories”. The project
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reporting and student supervision. Your profile: Ph.D. in Chemistry, Materials Science, Mechanical Engineering, or a related discipline Background in solid-state chemistry or physics Experience in thin film
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diversity and evolutionary history of a wheat immune receptor pair to uncover the molecular mechanisms underpinning paired receptor compatibility and guide the design of optimised immune receptor pairs