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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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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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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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requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management strategies. Key duties and responsibilities: Research implementation: Design and
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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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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