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epileptic patients to the analysis of microscope images. This position aims to research and develop biomedical image processing methods for the subsequent application of artificial intelligence methods
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: Admission requirements: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science or equivalent. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
transmission mechanisms using Regenerative Artificial Intelligence; - Develop a prototype for image transmission based on regenerative AI semantics; - Integrate and test the solution with an emulated HF testbed
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of SCADA data, Artificial Intelligence algorithms, and the Digital Twin of photovoltaic assets, allowing the identification of anomalies and patterns indicative of imminent failures.; ; The main objectives
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artificial intelligence - Evaluation of interface design, usability assessment, and user experience - Autonomy Minimum requirements: - Minimum score of 70 points in the curriculum assessment. - Availability
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optimize reimbursement claims with health insurers. The solution will be based on advanced hyper automation and generative artificial intelligence techniques, focusing on efficiency in terms of performance