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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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for research staff (contract type: open-ended contract; job category: PhD junior researcher) to collaborate with the funded line of research “Biological Systems Modelling and Applied Marine Ecology
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience is recommended
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organization. The position focuses on epidemiology and modelling plant disease in fruit trees with a deep knowledge on the biology, epidemiology, modelling and management of diseases of fruit trees, accordingly
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, planning, action). - Experience with leveraging and tuning Large Language Models. - Understanding of intent-based networking (IBN) and goal decomposition from operator-level intents to micro-intents
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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of preclinical models. Collaborate with other projects of the group, by promoting fruitful discussions or by helping in experimental work Participate in general activities of the group Support the principal
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models of spinal cord injury (SCI) to study regeneration and evaluate therapeutic strategies. Project Overview: This PhD project aims to develop and compare humanized in vivo and in vitro models of spinal
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modeling in calculation processes and application of AI techniques for processing dense point clouds Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research