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journals Your Profile: Master’s degree in soil chemistry, bioengineering, biochemistry, bioinformatics, or applied mathematics Hands-on experience in using differential calculus Solid knowledge in soil
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 14 hours ago
language of the doctoral programme is English. All courses and seminars are held in English. The doctoral thesis can be written and defended in English or German. Full-time / part-time full-time Programme
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sciences (including meteorology and oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also
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Joint degree / double degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
The PhD students will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning
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linking the farm-level bio-economic model MODAM with macroeconomic Computable General Equilibrium (CGE) modeling approaches. We are offering a temporary part-time position (65% of regular weekly working
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Dr. Lukas Lüchtrath (WIAS). It includes the possibility to pursue a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep