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University of California Riverside School of Medicine | Riverside, California | United States | about 12 hours ago
contacting: aobenaus@medsch.ucr.edu We are recruiting for the following areas: Vascular physiology: This position will use modern in vivo imaging (miniscopes, 2-photon, magnetic resonance imaging
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research. This role sits on the DIAD beamline, a unique instrument that combines imaging and diffraction for correlative materials characterisation. About the Role We now have an opportunity for a
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Title: Postdoctoral Research Associate - CAAAM Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Research & Innovation SubDivision-Department: UNT
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 12 hours ago
to unravel how nuclear mechanics and 3D genome organization impact cell division efficiency. Still, how chromosome segregation depends on these nuclear features remains unclear. Here we will test two
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learning-based segmentation, multimodal image fusion, and radiomic feature extraction to construct clinically relevant prognostic models. Conducted at the Heart Institute (InCor) of Hospital das Clínicas
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segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. We have an outstanding international reputation and a
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can