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: Didactic skills are acquired by the supervision of undergraduate students. Initiative and Responsibility: Programme organisation enables students to contribute actively to the scientific programme by
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
theoretical fundamental scientific research and currently employs about 300 people. We are part of the Göttingen Campus, a collaboration between the university and non-university research institutions
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Master's student in physics, mechanical engineering, materials science or a comparable degree programme and have a connection to software development. You are characterised by an independent and
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(Institute for Sustainable Materials) Teaching language English Languages The entire programme can be completed with courses conducted in English, and the daily scientific communication of the programme is in
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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barrier when participating in the BIOME programme. A guiding mission of the graduate school is its focus on the principles of fair play and the practice of scientific integrity. Awareness of and adherence
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evaluation, we place particular emphasis on your scientific track record, including publications, success in securing third-party funding, and experience at other research institutions and abroad. To support
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and digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine locations in scientific and non-scientific teams on the development of innovative methods
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), Max Planck Institute for Dynamics and Self-Organization (MPI-DS) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral
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., EuroCrops, FAOSTAT). Your qualifications: A completed Master’s degree in Agricultural Engineering, Environmental Science, or Geoinformatics. Sound expertise in remote sensing applications, big data