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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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department is seeking a highly motivated and skilled Postdoctoral Fellow to join a dynamic, interdisciplinary research team. The position focuses on the development, optimization, and integration of advanced
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, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management strategies
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learning and neuro-optimized techniques. The candidate must hold a PhD in Urban Development, Computer Sciences or Engineering or related domain but with specialization in Machine Learning and GIS
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written
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conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation
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reducing carbon footprints and improving energy efficiency. Investigate strategies for optimizing resource use, promoting material reuse and recycling, and minimizing waste throughout the production
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functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery performance. Its role is pivotal in the overall performance and safety