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multimodal pipeline (API function calling). 5) Testing • Cross-evaluation with pilot farmers and agricultural engineers from partner AGRIS. • Optimisation of models, inference time (< 500 ms) and memory
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:………..………………………………………………………………………………………………………………………………………… Management, with particular focus on the intersection of: Machine Learning Causal Inference Applied Field Experimentation Scientific Areas: Management, Economics, Information Systems, Computer Science, Data
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
thorough analysis of how the inferred fractional dynamics relate to transitions between consciousness and unconsciousness. Duration: The research fellowship will have a duration of 9 months. It’s expected
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of LIS ́s researchers, in the framework of Project Koachy | Smart Platform for Athlete Tracking and Gym Management (CENTRO2030-FEDER-01183000), co-financed by Portugal 2030 (Centro 2030). The grant is
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vehicles, considering various variables (e.g., tyre wear, fuel consumption, track conditions). - Implementing algorithms that, based on simulations and available data, can identify and suggest the best
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of LIS ́s researchers, in the framework of Project Koachy | Smart Platform for Athlete Tracking and Gym Management (CENTRO2030-FEDER-01183000), co-financed by Portugal 2030 (Centro 2030). The grant is
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 14 days ago
, with application to biomedical flows (e.g. microcirculation) it is now intended to develop an improved algorithm for advanced particle tracking using machine learning. The algorithm should be tested in
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algorithms for free-flying robots in microgravity.; • Implement and validate real-time multi-target tracking techniques.; • Validate the algorithms in simulated scenarios, evaluating robustness and accuracy