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plant and mathematical modeling to determine the benefit of root phenotypes for stress tolerance. Report your work in scientific journals and oral presentations. Your qualifications and skills: You hold a
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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or
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sciences, horticultural sciences, biology, environmental protection or related disciplines proven experience in the field of (organic) vegetable cultivation, e.g., in relation to climate adaptation
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partners are the Teaching and Research Station for Animal Breeding and Husbandry (LVAT), the University of Potsdam, the Leibniz Institute for Plant Biochemistry (IPB), the European Molecular Biology
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, the Leibniz Institute for Plant Biochemistry (IPB), the European Molecular Biology Laboratory (EMBL) and the Potsdam Institute for Climate Impact Research (PIK). Your responsibilities Development of novel
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partners are the Teaching and Research Station for Animal Breeding and Husbandry (LVAT), the University of Potsdam, the Leibniz Institute for Plant Biochemistry (IPB), the European Molecular Biology
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science, computer science, scientific computing, mathematics, physics, biology, earth sciences) Experience in the development of scientific open source software Experience in dealing with research data High
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, computer science, applied mathematics, computational biology, bioinformatics, and many other subjects relevant to the project. Excellent communication skills in English, verbally as well as in scientific
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demonstrated their ability of innovative research and independent thinking. The research program of the successful applicant will address contemporary topics in plant stress biology where metabolomics should
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approaches. Publish results in high-impact journals. Your qualifications and skills: You hold a Master's degree (or equivalent) in mathematics, statistics, biostatistics, bioinformatics, plant breeding