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Field
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models
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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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transitions. Specifically, this project will investigate the cellular changes occurring during cell development at high resolution by applying cutting-edge imaging technologies such as volumetric EM, cryo-ET
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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neuronal circuits requires the coordinated execution of several developmental processes, including neuronal migration, axon growth and guidance, and synaptogenesis. These processes critically depend
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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grow potato plants in the automated phenotyping facilities of the Netherlands Plant Eco-phenotyping Centre (NPEC) external link . Using high-resolution imaging, you will follow plant growth, physiology
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entitled “Imaging using Quantum Optical Coherence Tomography” Where to apply E-mail [email protected] Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills