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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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to the exploration of novel genetic tools and resources that could facilitate further genetic exchange among Hordeums. Your tasks: Phenotypic characterization of a global collection of Hordeum Bulbosum. Development
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, and data science and further develop this expertise in the context of living lab research. The new organizational unit will also cooperate closely with ZALF's existing research areas and service
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg). It also maintains research stations in Dedelow and Paulinenaue. With its Tenure Track System, ZALF aims to recruit excellent
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instructions of the project (https://manifesto-project.wzb.eu/information/documents/handbooks ) Development of the project’s infrastructure (e.g. Shiny Apps) Contribution to the organization of conferences and
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workflows within selected ELM use cases by developing code to create semantic annotated data structures. Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research