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Field
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Our team We develop next generation optical imaging and sensing platforms in the context of future biomedical, pharmaceutical and clinical applications. We are particularly interested in label-free
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environmental conditions, and develop and validate computational decoders that recover environmental history from an image of the living organism. Based on the found capabilities, the candidate will also design
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integrated electrodes. Cell co-culture. Biomolecular characterization. Permeability assays. Epifluorescence and confocal microscopy analysis and image processing. Data acquisition and processing. Sensors and
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an interdisciplinary programme spanning spatial imaging technologies, molecular biology, computational biology, pathology and biomarker discovery. DC13 focuses on Mucosal Melanomas (MuM). Building on its vast experience
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Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply Website https
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Job related to staff position within a Research Infrastructure? No Offer Description The Internet of Things (IoT) paradigm is driving a massive increase in the generation of multimodal data on tiny
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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accurate despite the large temperature gradients present in cryogenic experiments. You will explore full-field techniques such as digital image correlation, speckle and grid methods, interferometry, digital
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. The mechanisms governing the growth of Sn on InAs and other III-V semiconductors remain poorly understood. Imaging Sn/InAs interfaces at atomic resolution using a transmission electron microscope (TEM) gives
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, segmentation, and metric-semantic mapping - Develop and evaluate machine learning-based image segmentation methods for robust perception in extreme environments; - Contribute to metric-semantic mapping