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Description THE GRADUATE SCHOOL | Our International Max Planck Research School on Interdisciplinary Plant Biology is a local collaboration between the Max Planck Institute for Plant Breeding
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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Institute for the History of Science, Freie Universität Berlin, Humboldt-Universität zu Berlin and Technische Universität Berlin. It is an international PhD program based in the history and philosophy
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at obtaining further academic qualification (usually PhD). We are looking for highly motivated candidates with a strong background in theoretical computer science (in particular, algorithm design). The
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). Requirements Please consider applying if you: Have obtained or will soon obtain a master degree in computer science or a related subject Want to pursue academic research at the highest level and obtain a PhD
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking a motivated PhD candidate to apply the emerging framework of information field theory
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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for a motivated PhD student with a good knowledge of algorithms and theoretical computer science. The successful candidate will take part in the research and teaching activities at the Chair of Algorithms
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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component