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Field
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to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale
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project meetings Managing big biodiversity datasets, including quality assurance/quality control and methods for automation Analyzing spatial and temporal biodiversity data, and accompanied environmental
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technology constraints Placement & Routing for technology-independent layout generation Clocking and data synchronization Layout validation and verification Technology mapping and optimization To learn more
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skills in hydrogen technology by supporting the electrochemical investigations of electrolysis and fuel cell components. Would you rather work on one of our test benches for large components for wind
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sensing, geophysics, physics, or related areas; other areas are welcome if added experience in topics of the project can be demonstrated For benchmarking: Experience in big data management, preferably Earth
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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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well as professional and personal support. The scholarship holders are supported in their personal development with a large number of offers. This includes soft skill seminars and language courses as well as summer
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high resolution from big geospatial data Exchange with our scientific partners Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A
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geoinformation from big Earth observation data acquired by current and future Earth observation missions. It is involved in a large number of third-party projects and a large international network. It is a global
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software