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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
image processing, compositing, seamless collage, composition, text design, and quality control techniques for printing and production using Adobe Creative Cloud software on Apple computers. No prior
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Job no:521455 Work type:On Campus Location:Normal, Illinois Title: GA - Pre-Professional -Body Image and Eating Disorders Outreach - Fall 2026- Spring 2027 Division Name: Student Affairs Department
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: Selecting appropriate ultrasound equipment and ancillary equipment required by individual echo study. Set up procedure room. Assessment of echo orders to identify specific pathology requirements in imaging
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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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prototype systems that demonstrate practical outcomes for complex reasoning and understanding tasks. This role offers the opportunity to combine software engineering with cutting-edge AI research, including
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prototype optical sensor for the rapid, early detection of undesirable taints or off-flavours in whisky, based on recent research in the Clark Nanophotonic Devices Research Group and Peveler Bio-Nano Sensing
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police clearance check may form 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
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for routine updates and bug fixes. Support the development of new processing systems for flight instruments. Assist with testing photogrammetric processing pipelines for planetary image data following
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programming/operation Ability to lift at least 40 pounds for show set up and material handling At least one year of experience in prototype fabrication Experience or interest in performing preventative
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods