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primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in
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. - Support and monitoring of the implementation of suitable crops in the agrivoltaic pilot, analysis of their characteristics and results. - Support in improving and optimizing the characteristics
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of the requirements and specifications for methane splitting technology; ii) Preparation and characterization of catalytic films and optimization of the catalytic substrates; iii) Development of a simple
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of this manufacturing process using topological and generative optimization strategies, following the principles of “Design for additive manufacturing”; - Production of prototypes and carrying out/monitoring tests
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problems, and developing a tool that generalizes the previous work in such a way that it can be applied for different optimization criteria. Workplace: The work will be developed at NOVA Laboratory
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Annotation for Training AI Models 2. Development and Optimization of AI Models for Fraud Detection 3. Implementation of an AI Model for Stock Management of Current Dispensers 4. Implementation of a Distributor
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several optimal sensor configurations may result from the previous tasks, so several models may be developed; Implementation of the BE sensor prototypes to be tested in a laboratory setting, namely through
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of crossing the blood-brain barrier; b) Characterization and optimization of functionalized nanoparticles; c) Encapsulation of a compound with anti-glioblastoma activity in functionalized nanoparticles and