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repair Special Instructions to Applicants: In order to be considered, you must include your resume with your application. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health
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complex audio-visual problems and identify areas for process improvement. Provides quality assurance for end user hardware configurations and operating system images. Responds to tier two audio visual queue
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Learning, image processing, natural language processing, generative AI, and large AI models For level I, applicants must have at least 1 year of software engineering experience For level II, applicants must
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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. Manage the digital archives of images and make images available electronically to users. Staining - Perform specialized techniques such as immunofluorescence and immunochemistry related to the processing
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for machine learning integration - Conduct rigorous data validation and quality assurance processes across diverse data types Software Development and Infrastructure Support - Design and maintain advanced tools
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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equipment and support faculty using the equipment/products. As well as providing simulation technical support at our Jacksonvile campus. Knowledge of Laredal products a plus. The incumbent will be responsible
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL