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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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classifications, in addition to volunteers and others working in clinical and research environments. The Department's medical education programs are some of the most widely distributed within the Faculty
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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material for the advancement of the Botanical Garden collection. Performs duties such as calculating basic quantities, assists in updating databases and collection, coding, distributing, filing and indexing
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to the Head of the Department: Coordinating Department Head’s calendar and schedule, calling for agenda items, preparing and distributing agendas and documentation for Departmental and committee
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wiring, equipment, distribution equipment, appliances, apparatus, fixtures or other components, using hand tools, power tools and various test instruments, to ensure compatibility and safety
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of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records. Track
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support, and cross-case consultation practices. Programmatic Leadership: Advises the Director on the strategic deployment and resource needs of the FA/FO team, ensuring appropriate caseload distribution
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risks and delays and quality standards Plan, execute, and optimize digital ad campaigns, making strategic decisions on targeting and spend distribution on platforms such as Meta and Google in line with
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catering arrangements. Attends meetings and informs Director of relevant information as required. Takes and distributes meeting minutes. 3. Makes travel arrangements for the Director’s attendance