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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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populations-often fall short. The Injury Analytics Lab (IAL) was established to fill this critical gap by developing transformational technologies that integrate clinical, imaging, and contextual data
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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our admissions and recruitment efforts. Duties may include: Assisting with the organization and processing of admission applications, including document imaging, scanning, indexing, and electronic
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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may
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Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
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compliance with HIPAA regulations, informed consent processes, and all IRB requirements for human research. Manages and curates large imaging datasets, including DICOM transfer, quality control, annotation