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international teams, and value creative approaches to research. You communicate fluently in English, both in writing and orally. We Offer: Access to an international network of scientists, policymakers, and
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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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sciences a pleasant and respectful working atmosphere integration into a successful and committed team in an international environment and network flexible and family-friendly working time models and the
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doctoral student to realize this project. You can expect an exciting research activity at a non-university, internationally networked institute with a dynamic and interdisciplinary working environment. Your
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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our international research network. German language proficiency is a plus. Value professional collaboration, embody teamwork spirit, take personal and collective responsibility, and uphold mutual
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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part of national and international networks, provides research infrastructure that is used worldwide, and supports young researchers in their careers. DIW Berlin is independent and, as a member of the
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biological functions of small natural product molecules in plants and fungi. The focus is on specialized metabolites, chemical mediators and relevant molecular networks of functional gene and protein
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disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: if you have a strong interest in plant physiology and root biology. if you