47 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Leibniz
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is to understand the evolutionary driven force by which plants adapt to varying (extreme) environments on their metabol(om)ic landscape. Studies in this direction will be carried out in model organisms
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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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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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killifish as a laboratory model by training labs for killifish husbandry, developing and sharing husbandry protocols, sharing laboratory and wild-derived killifish strains and resources for this species
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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. This full-time position is based in our Research Hub in Berlin. We seek individuals who are passionate about policy-relevant, data-driven research in the field of industrial policy and are eager to contribute
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Amoc) in the field of Earth System modelling, starting on 01/05/25. The position is funded for 3 years. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group
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integrate multisource Earth Observation data for tillage impacts and Soil Organic Carbon monitoring. We are offering, in subject to final confirmation by the funding organization, a 80% position (32 hours per
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analyse the resulting data Facilitate interactions among consortium partners and assist in organizing project-related visits and workshops Assist in project management Profil: PhD in Biology, Biochemistry
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). The institute also maintains locations in Dedelow and Paulinenaue. The advertised position will support the European Partnership “Accelerating farming systems transition: Agroecology Living Labs and Research