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Field
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image analysis and reconstruction research on magnetic resonance imaging of the lungs and heart in children (including neonates), and will be based in the POLARIS group, which is internationally
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an expert in combining neuroimaging with neuromodulation. The post holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data gathered before
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our fellows become proficient in multiple facets of musculoskeletal imaging and procedures. All imaging modalities are utilized to diagnose and treat injuries and diseases including CT, MRI, ultrasound
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analysis and bioinformatics, flow cytometry and imaging-based analyses, tissue processing, 3D/organoid culture, and nanomedicine. · Preferred research in one or more of these areas: cardiovascular
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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of innovative solutions for next-generation sensing and imaging systems. The role requires the experimental design and operation of photonic and optoelectronic platforms, collaboration with research teams, and
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congenital cardiovascular magnetic resonance imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering
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, an imaging platform, and a prototyping platform. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-MATBER-006/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD
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comprehensive visual feature codec for machine uses. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are offering an exciting