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28 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Researcher Profile
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30 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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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
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with the project team; 2. Choice of technology; 3. Prototype development; 4. Design of prototype evaluation methodology; Execution of the evaluation and analysis of results; 5. Correction of any
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imaging, laser scanning, acoustic imaging and multimodal sensing. ; Data processing pipelines for mapping, inspection, 3D reconstruction, habitat characterization and science-ready datasets. ; Autonomous
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
, programming in Matlab, and understanding of optimisation. Candidates with knowledge in image analysis and processing, radiobiology, medical imaging, statistical methods and simulation, clinical informatics
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
, programming in Matlab, and understanding of optimisation. Candidates with knowledge in image analysis and processing, radiobiology, medical imaging, statistical methods and simulation, clinical informatics
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Requirements: Experience in mechanical/electromechanical design, including CAD modelling and prototype development. Knowledge of ultrasonic technologies, process monitoring, and closed-loop control systems
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for a research grant within the framework of project “WAVES - Seawater & Wastewater: Turning Challenges into Resources”, with operation code at the Funds Platform (Balcão dos Fundos) NORTE2030-FEDER
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of (number) Research Grant(s) (RG) in the scope of R&D project POMEAI: Artificial Intelligence for Early Disease Detection in Pome Fruit Orchards using Multispectral Imaging (COMPETE2030-FEDER-00831600), from