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air quality modeling tools. Experience with large datasets and data processing techniques. Excellent written and oral communication skills, including the ability to present complex research findings
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subject to performance and the continued availability of funds. Job Responsibilities Establishing research protocols for large scale on-farm experiments with the components of biochemical analysis
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, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a
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multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks
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interdisciplinary collaboration, the center aims to bridge research and practical applications for the development of a large spectrum of applications in agriculture, cosmetical, pharmaceuticals, feed and food
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material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale cathode material production. Collaborations and Knowledge Transfer: Work
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, knowledge sharing, and infrastructure development. The candidate will also contribute to: Facilitating collaboration among research groups in battery recycling. Assisting in the development of large-scale
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material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale Na-ion cathode material production. Collaborations and Knowledge Transfer
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practical applications for the development of a large spectrum of applications in agriculture, cosmetical, pharmaceuticals, feed and food industry, bioremediation, climate change mitigation, and renewable
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve