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and develop the corresponding biasing network.; • Fabricate and assemble a proof-of-concept prototype on a glass substrate.; • Experimentally characterize the electromagnetic performance
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demonstration of a prototype in a laboratory environment, as well as integration into real use cases ; - Writing project documentation and scientific publications. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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the following main activities:; 1. Design and implementation of the SQL-to-eBPF compiler: definition of the architecture that translates SQL queries into eBPF programs, and implementation of a prototype capable
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for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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: Previous experience in biomedical image and signal processing; Previous experience in technology transfer processes in biomedical tecnologia.; Minimum requirements: MSc Degree - Enrollment in a PhD program