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procedures. The doctoral candidate will combine non-invasive electrocardiographic imaging (ECGi) with late gadoliniumenhanced magnetic resonance imaging (LGE-MRI) to create personalised models of cardiac
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 10 hours ago
, data acquisition, controls, or AI-enabled building systems. • Experimental design, laboratory testing, prototype development, and quantitative data analysis. • Research documentation, peer-reviewed
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contribute to embedded systems development, sensor integration and deployment of prototype devices. Research Fellow - Poultry Systems Validation This role will be based primarily within NTU's Poultry Research
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collaboration with internal (i.e., MuVIS X-ray Imaging Centre) and external analytical facilities and hence require ability to travel within the UK. The role will be based at the National Oceanography Centre in
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Intelligence in Medicine at the Hong Kong Polytechnic University is searching for postdoctoral scholars. The laboratory focuses on cutting‐edge research at the intersection of medical images and genetics
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career opportunity You will lead experimental embryology and skin biology projects that manipulate avian and vertebrate developmental programs. You will apply advanced imaging, genome editing and
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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at establishing synthetic motion as a new paradigm for spatio-temporal metamaterials. Collaboration within a multidisciplinary team involving experimental and theoretical physicists. Involvement in publications
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seaweed ecology for species recognition with collection material. You will develop a multimodal workflow on integrating hyperspectral imaging, X-ray fluorescence, and RGB images. You will be given ample
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). This is an exciting opportunity to contribute to an internationally significant programme within the university. The selected candidate will work within the broader Innovation for Conservation (ICON) team