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holders" (https://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Expand knowledge of the state of the art in
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factors: Frequency of a master in data sciences Minimum requirements: Python knowledge Experience of developing software for data streams 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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for these systems, such as pruning, knowledge distillation or quantization rely on the development of less complex neural networks. However, less complexity can imply hidden sacrifices and drawbacks. As such
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knowledge enhancement, preparation of R&D project applications, team management and guidance of junior researchers, scientific production for international journals and conferences, intervention in
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of the scholarship is to investigate and implement solutions based on computer vision in a multi camera scenario. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state
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Institutions. Preference factors: - experience in the area of medical image analysis.; - knowledge of AI algorithms Minimum requirements: - average degree or master degree above 14; - 1 article published in a
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fiber optic sensors, development of nanoparticles and strong knowledge in simulation and manufacturing of systems based on plasmonics.; Experience in design and 3D printing.; Minimum requirements
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value of €2348.34 for the equivalent category. DUTIES TO BE PERFORMED Coordination and implementation of R&D projects and knowledge enhancement, preparation of R&D project applications, team management
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for these systems, such as pruning, knowledge distillation or quantization rely on the development of less complex neural networks. However, less complexity can imply hidden sacrifices and drawbacks. As such
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning