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) Prototype evaluation and model optimisation . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the CDRSP, under the scientific guidance of Prof. João Manuel Matias. . GRANT FINANTIAL
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of videos/images already collected in a real environment at the Hospital da Misericórdia da Mealhada and which will be made available; definition of accuracy and latency metrics. 3) Implementation and
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optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I
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. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience in biomedical image and
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storage devices; - Implementation of a prototype of the previous system and design of profiling mechanisms that enable identifying complex I/O patterns and the corresponding placement rules; - Experimental
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photographic documentation. Production of derived visual content: Generation of renders, animations, and illustrative images from 3D models for reports, scientific publications, and digital communication, with
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in the motivation letter. Additional optional skills and qualifications: Previous experience in: segmentation of magnetic resonance images (MRI) of the brain and spinal cord; generation of surface and
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view of multimodal information processing including the development of neural models for language and image using deep learning technology, with particular focus on the Portuguese language; 2
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with heat pumps/HVAC and EMS/BMS/SCADA, specifying data exchange and developing APIs; • support prototype tests, calibration and KPI definition (efficiency, cost, CO₂); • attend a transversal competences
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consumption over large-scale infrastructures; - Implementation of an experimental prototype and comprehensive evaluation in real scenarios (e.g., supercomputers).; ; The tasks described in this working plan