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, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints
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absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
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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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photovoltaic devices for enhancement in the efficiency of the solar cell. Optimize experimental conditions for the improvement in the photoluminescence measurements. The synthesis of homogeneous quantum dots
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synthesize high-quality perovskite materials tailored for photovoltaic applications, ensuring optimized properties for solar cell performance. Thin-Film Deposition using various deposition techniques such as
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bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models, applying them to diverse bacterial use cases, and contributing to the development
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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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porous materials for CO2 hydrogenation reactions using photo- or thermal catalysis. The successful candidate will be involved in optimizing the synthesis process, with experience in photo-catalysis
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communities in soil environments. Develop and optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil
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. Design and perform laboratory experiments to test and validate new approaches for optimizing the efficiency and sustainability of phosphate-based products. Utilize advanced analytical techniques (such as