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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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the usability and user experience of the solutions - Prepare activity reports and scientific articles 4. REQUIRED PROFILE: Admission requirements: PhD student, with a completed master's degree The awarding
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SCIENCE Scientific subarea: Informatics Grant duration: 12 months, starting on 2026-02-16 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD
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learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge
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of the Grant are:; 1) To apply machine learning algorithms for the diagnosis of faults and malfunctions in photovoltaic plants, using data from SCADA systems combined with synthetic data from digital twins (DT