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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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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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. The candidate will also collaborate with the Department of Computer Science at Kiel University and the remote sensing company EOMAP GmbH, employing state-of-the-art machine learning techniques to improve
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; German would be desirable Initiative, motivation, commitment, and scientific curiosity We offer a structured PhD program, exciting research topics, a stimulating international environment, a good
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interfaces, with specific focus on soft-hard interfaces. PhD STUDENT (F/M/D): electron microscopy of soft functional materials We are looking for a highly motivated PhD student (f/m/d) in the field
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factors in plants”: PhD student (f,m,div) in Plant Biology Reference number: 26/2025/1 The salary will be based on qualification and research experience according to the wage agreement TV-L, up to pay scale
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany, offers a PhD position (m/f/d) on the topic: Precursors
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computational approaches Beyond technical training, you will join a dynamic, collaborative and international team and receive structured support through our PhD training program. Your Profile: Master’s degree