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, water wastage. In contrast to in situ measurements, remote sensing data provide frequent, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can
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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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7 Mar 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets
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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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groups in battery recycling. Assisting in the development of large-scale research proposals. Translating fundamental research findings into industrially viable recycling processes. A postdoctoral research