53 high-performance-computing-"Multiple"-"Prof"-"Humboldt-Stiftung-Foundation" positions at University of Florida
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. Appropriate vocational/technical training may substitute at an equivalent rate for the required experience. Preferred: Completion of an approved apprenticeship program for multiple trades, or a high school
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Classification Title: Asset Specialist I Classification Minimum Requirements: A high school diploma and one year of appropriate experience. Appropriate college coursework or vocational/technical
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substitute at an equivalent rate for the required experience. Preferred: Completion of an approved apprenticeship program for multiple trades, or a high school diploma and four (4) years of appropriate
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effectively and meet deadlines. High level of professionalism, reliability and attention to detail. Good organizational skills; detail-oriented Sound degree of computer literacy Ability to methodically record
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units and address any issues with Program Director regarding unit performance. Operate and maintain Kodak 9000 cone beam computed tomography (CBCT) system; scan patients requiring a high-resolution
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. High level of computer literacy and comfort using online technologies. Strong verbal and written communication skills are essential. The ability of convey information clearly and effectively is crucial
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of this professional position is to independently coordinate various conferences, and other educational programs with higher complexities including those with multiple current sessions, extensive program components, and
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push repetitively Stand for extended periods (up to seven hours daily) Work in direct sunlight and heat for extended period Perform other types of physical exertion necessary for task completion Ability
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coordinate work assignments while balancing multiple priorities. Can manage a high volume of tasks without sacrificing accuracy or attention to detail. Highly adaptable and able to proactively identify
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molecular microenvironment in tissues from various organ systems, utilizing spatial omics and high-resolution microscopy datasets. Performing detection, segmentation, and quantification of anatomical features