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recommendations for nature-based climate mitigation and marine biodiversity conservation. SEAGUARD is a joint effort of the IOW, the informatics department of the University of Kiel, and the remote sensing company
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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Steinrück), we investigate mechanisms and processes of chemical hydrogen storage using advanced methods (including large-scale research facilities) as well as modern data reduction and data evaluation methods
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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Design Engineering at Imperial College London, TUM’s Professorship of Energy Management Technologies participates in this program and awards an excellent candidate with a prestigious JADS PhD scholarship
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work