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thousand hectares by 2050. To achieve this goal in order to optimize the socio-ecological benefits of landscape and ecosystem restoration and minimize its costs, it is necessary to adopt a strategic plan to
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will benefit all industries by integrating tools into their infrastructures. Solutions will be developed for predictive maintenance and process optimization. The platform will also promote collaboration
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Skills: Strong track record in publishing high-quality scientific articles in peer-reviewed journals; • Domain Knowledge: Deep understanding of quantum computing and/or quantum optimal control theory
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with laboratory and field experimental testing; - Experience with antennas for rural and/or 5G applications; - Knowledge of advanced propagation techniques and antenna optimization; - Experience with
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. The scholarship holder will develop activities such as: (1) integration of remote sensing and IoT data for modeling agricultural productivity; (2) development of predictive models to optimize planting density and
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(ESALQ-USP) in Piracicaba, Brazil. The selected fellow will be responsible for: (1) integrating remote sensing and IoT data for crop productivity modeling; (2) developing predictive models to optimize
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-generation sequencing (NGS); - ELISA; - Immunofluorescence. Preferred Qualifications: - Experience in the development and optimization of antigens for serological tests; - Familiarity with international good
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. Development of mesh generation and adaptation algorithms to produce optimized spatial discretization for finite element-based anisotropic elastic and viscoelastic wave propagation; 2. Develop interface matching