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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo
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development of digital tools that enable ECMWF to extend provision of data and products covering weather, climate, air quality, fire and flood prediction and monitoring. ECMWF is a multi-site organisation, with
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) conducts research with the aim of investigating, identifying, and advancing development pathways for transformation processes towards sustainability in Germany and abroad. The institute was founded in 2009
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. Candidates must have achievements in research and teaching equivalent to a habilitation. WE OFFER YOU The University of Cologne provides an exciting academic environment with a wide range of career development
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development for industrial sucrose crystallization " Project Join an exciting research initiative at the forefront of Industry 4.0 and process systems engineering. The project focuses on developing a digital
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. If you are an experienced researcher with a strong background in mechatronics, robotics, or control systems eager to lead research, development, and system integration of service humanoid robots with a
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-Wittenberg and to actively pursue further professional development. The willingness and ability to teach in both German and English are required. Further duties and responsibilities are stipulated in section
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development. About the Host Institutions Technical University of Munich (TUM), Germany The Technical University of Munich (TUM) is one of Europe’s leading universities and a designated University of Excellence
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image analysis to establish objective, fast, and scalable testing methods for the textile and cosmetics industries. Your tasks Development and implementation of AI/ML models (Deep Learning, Computer