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, Electrical Engineering, Data Science, Data Analysis, Statistics, or related field. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher
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) Perform predictions, create baselines and develop AI services (including generative AI and Foundational Models) applied to Energy consumption in the domestic and industrial segment.; 3. BRIEF PRESENTATION
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of the art in the area of electronic devices for antenna applications ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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; - Develop research capacity in the areas of data space connectors, interoperability, and open-source repositories. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop tools for the management
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cases; • develop and validate physics-/data-driven models (with reduced-order versions); • design sizing and operational optimisation/MPC under tariffs, RES and comfort/process constraints; • integrate
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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laboratory infrastructure.; - Identify and select suitable methods to develop the proposed work plan.; - Develop research skills through the application of the selected methods.; - Apply the scientific method
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results. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Develop machine learning-based models from data.; - Validate the developed models with real data.; - Publicize the work in international