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using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions; (b) use AI algorithms to detect
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secure, regulatory-compliant development platforms capable of ingesting, curating and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems
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Systems”. The objectives of this work consist of: (a) analyzing historical consumption data to identify patterns and guide the selection of suitable AI algorithms; (b) studying and applying advanced machine
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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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) on physical robots. • Use evolutionary algorithms to optimize both the robot’s body and brain together. • Apply quality-diversity methods to discover a wide range of high-performing designs
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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the attached template: Compliance with working hours and attendance; Compliance with the work plan, specifically the development of software for the AI module, including the implementation of algorithms