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, image processing, machine learning, and spatial optimization to reconstruct cable surface alignments and geographic coordinates. Validate inferred routes against reference or field observations and
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Forestry-Maple Extension Aide, CALS Ashely School of Global Development and the Environment (Onsite)
computer skills, including Microsoft Office applications Excellent communication and organizational skills Ability to work independently and as part of a team Commitment to safety, reliability, and
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productivity and quality expectations. This position also supports staff development through mentoring and training, while assisting with strategic planning, budget management, and administrative processes. Key
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productivity and quality expectations. This position also supports staff development through mentoring and training, while assisting with strategic planning, budget management, and administrative processes. Key
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Ability to work in a cleanroom environment Demonstrated ability to work safely with hazardous chemicals Computer skills, including email and spreadsheets) Able to work 20 hours per week for a 10- to 20-week
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: Evaluate and follow work processes to ensure Patient Identification, evaluating Radiographs for image quality, selecting the correct exposure factors, taking into consideration the patient's size, age, and
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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to: Develop AI and machine learning workflows to analyse microscopy and high-content imaging data from advanced in vitro models. Build computer vision pipelines for image segmentation, tracking, phenotypic