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these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology, and computational modeling with multiomics to bridge mechanistic understanding from the neuron
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project iMAGE aims to study the rise
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-in-the-loop proofreading of automated cell reconstructions, active-learning approaches for efficient annotation, and self-supervision approaches for tokenizing image datasets and cell reconstructions
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instrumented building models (impervious and with openings). Experiments will use Phase-Detection Probes, high-speed imaging and force/pressure measurements to simultaneously capture detailed air-water features
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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on developing new methods for color-specific conditional generation in multi-modal generative models. The candidate will work on exploiting the intrinsic knowledge about color within text-to-image (T2I) models
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sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial genomics data acquisition and analysis. Where to apply E
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imaging data. Our offices are located at the Clinical Research Center (CRC) in Malmö, next door to the Department of Obstetrics and Gynecology at Skåne University Hospital. This project aims to investigate
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accreditation • Proven experience working with animal models • Extensive expertise in histological and imaging techniques, including confocal microscopy • Proficiency in image analysis software (e.g., ImageJ
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 1 month ago
with a possible extension) on medical Imaging and Artificial Intelligence. Main Activities • Propose methods for intracranial aneurysms detection and vascular tree characterization (based on Deep