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faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields
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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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biological assays and data analysis. Tissue Collection and Processing: Handle tasks related to tissue collection, processing, preservation, sectioning, immunostaining/IHC, and imaging. Lab Management: Maintain
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in March and combines the UCL Centre for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). The specific location will be our office at 90
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Materials Science & Engineering
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (Immunology, Biophysics, Biochemistry, etc
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researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory
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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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, between Department of Radiology leadership and College of Medicine leadership. Requirements MD, DO, or MD/PhD in imaging and/or imaging-related fields. Board Certification in Radiology (ABR) Fellowship