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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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of historical and real-time data will be processed to improve crop profiles and tailor growth plans. The project includes using advanced algorithms to link various irrigation, nutrient, and telemetry datasets
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growth plans. Supported by correlation algorithms applied to telemetry, irrigation, and nutrient data, it ensures data integrity for both regulatory purposes and the execution of automated decision-making
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of the following tasks: Development of subsystems for high-speed optical communication systems, including pointing, acquisition and tracking, optical fiber coupling and digital signal processing (DSP) algorithms
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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iteratively refine algorithms to ensure scalability, reproducibility, and biological interpretability. Behavioral Representation Learning and Temporal Modeling (30%) Build canonical behavioral embeddings
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learning algorithms constitutes a very promising research direction for energy-efficient and Edge AI applications: the goal here is to make these systems capable of learning per se, not just inference
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Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical