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digitalized society, a climate-friendly energy system, and a resource-efficient economy. We combine natural, life, and engineering sciences in the fields of information, energy, and bioeconomy with specialist
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral communication
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processing and writing. You will also take courses at the doctoral level, participate in international conferences, and have the opportunity to develop your networks across various academic disciplines and
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 14 hours ago
Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application
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experience Ph.D. in geography or a relevant related field. If the Ph.D. has not yet been obtained, candidates may apply under the condition that the degree will be completed no later than during the spring
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, candidates may apply under the condition that the degree will be completed no later than during the spring semester 2026. Specialization in statistical analysis and mathematical modeling is required
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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collaboration with farmers who are already testing these systems. As a PhD student within this project, your work will include field station and on-farm experiments, as well as data processing and writing. You
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing