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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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OCR and image processing applications; conduct quality control; and meet production goals and deadlines. The position collaborates with staff and vendors on digitization projects; applies appropriate
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of breast cancer patients (the largest of their kind; making extensive use of imaging mass cytometry and spatial transcriptomics) that span observational studies and clinical trials. We must precisely define
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A leadership opportunity has arisen for an experienced specialist radiologist to advance their career by heading up the Diagnostic Imaging service team at the Queen's Veterinary School Hospital
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
regions involved in information processing and learning, in a laboratory that utilizes state-of-the-art in vivo imaging techniques and advanced behavioral paradigms to elucidate how cortical circuits
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fast-paced academic environment; and demonstrated capacity for both detail orientation and big-picture thinking. PREFERRED: Three to five years of experience; a master's degree in engineering or science
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interactive materials. They also oversee the image acquisition process, monitoring intellectual property ramifications and obtaining permissions as needed to secure images, video, and audio for public museum
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supporting Harvard’s advancement activity through front-line fundraising, alumni and volunteer engagement, technology, prospect management and research, business process, events, communications, and many other
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appearance of liver cancer for AI-based liver lesion detection and classification. In this role, you will be responsible for developing AI approaches to analyse liver imaging data from a large and unique in