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Field
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analysis, visualization, and integration. Technical data support: Serve as a technical data partner, assisting investigators, trainees, and staff with data processing, analysis, and workflow implementation
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 9 days ago
and digital platforms supporting scientific, regulatory, and operational programs within CBER. This opportunity focuses on improving usability, accessibility, performance, and visual design of web-based
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repositories and user-friendly scripts for data visualization by other researchers. • Handle project documentation, progress reporting, budgeting, and procurement (including liaising with vendors and managing
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: 7026843 Collections Management Post-Baccalaureate Fellow Hobart William Smith Colleges Location: Geneva, NY Open Date: Mar 23, 2026 Description The Visual Arts Curator of the Davis Gallery at Hobart and
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design prototypes and provide technical support; (b) conduct design studies with data collection and analysis; (c) document the design and research process; (d) conduct research writing; and (e
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biology. A background in the visual arts and/or design is looked upon favorably. All positions require a doctoral degree. The Disease Biophysics Group is a creative, transdisciplinary group of engineers
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, visualization, and integration. Technical data support: Serve as a technical data partner, assisting investigators, trainees, and staff with data processing, analysis, and workflow implementation under project
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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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. Additional Qualifications: Experience writing for diverse audiences. Some editorial experience, in print or digital publications. Digital skills, including mapping and visualization software and Linked Open
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learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining, Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny, Arxiv