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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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imaging with computed tomography, magnetic resonance imaging and positron-emission tomography CT/MRI for patients with suspected lung cancer. At UCLH, we have a bronchoscopy suite with state-of-the-art
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photoelectrochemical ammonia synthesis funded by the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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Python and R programming languages for modeling complex biological data. Preferably experience with medical imaging analysis, particularly MRI data processing and interpretation. Keen interest in
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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, stem cell biology, RNA/chromatin biology, immunohistochemistry, immunology, sequencing analysis and bioinformatics, flow cytometry and imaging-based analyses, tissue processing, 3D/organoid culture, and
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application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are seeking an enthusiastic and highly