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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 9 hours ago
1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire simultaneous EEG/fMRI imaging from healthy
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
. Project summary and work plan The work plan associated with this fellowship is focused on developing complex organ-on-a-chip systems, compatible with functional imaging techniques and integrating sensing
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-degree course). - Experience in fluorescence microscopy and image analysis. - Experience in analysing neuronal morphology and synaptic alterations BIs awarded to MSc who attend courses that do not confer
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system for acquiring and processing images of dried fruits 3. Development of a system for the transport and automatic selection of dried fruits, including initial separation of contaminants and residues
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system for acquiring and processing images of dried fruits 3. Development of a system for the transport and automatic selection of dried fruits, including initial separation of contaminants and residues
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of the Ph.D. in Physical Engineering and Microtechnology programme and develop their research at the Imaging and Artificial Vision Lab - ImViA. During this period, the candidate will also undertake
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until the time of signing the contract. Activity Outline: Development of advanced quantitative image analysis methodologies to uncover significant correlations in multispecies chronic wounds biofilms
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industry. T2: Preliminary research on the state-of-art of real time object tracking. T3: Development of prototype applications to evaluate marker-based and markerless tracking technology in the task of real
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learning that extracts and analyses time-series data from different available sources (e.g., in-situ biological and chemical data, satellite imaging, on-site cameras); b) Development of software for biotoxin
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and building structures, Artificial Intelligence methodologies for automatic detection of structural anomalies, and application of reality capture technologies using images and point clouds. • High