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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE | Italy | about 2 months ago
and functionally characterized and validated in advanced 2D and 3D tumor models by assessing antitumor activity, receptor-mediated internalization, tumor penetration, and cell death mechanisms
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education outreach. Knowledge, Skills, and Abilities (KSAs) Knowledge of current traditional and advanced manufacturing technologies and processes, including 3D printing, Virtual/Augmented Reality laser
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education outreach. Knowledge, Skills, and Abilities (KSAs) Knowledge of current traditional and advanced manufacturing technologies and processes, including 3D printing, Virtual/Augmented Reality laser
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, microfilm readers, scanners, and all related software Helps direct patrons to the proper Library department for their needs Maintains 3D printers and 3D Print requests Assists Library IT department with tasks
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/?url=https%3A%2F%2Fu.osu.edu%2Fvegprolab%2F&token=lDe1D7S76H0PhqCO2XJnyO8uKdYc%2F%2FMx3XEB%2BRHy03E%3D ) invites you or someone you recommend to contact us about positions available with our team. Many
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Number req26413 Department James C Wyant Coll Optical Sci Department Website Link https://optics.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Advance groundbreaking
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well as exploring the application of research findings to advanced 3D models such as organoids and 3D bioprinted tissues Learning about high-content, automated phenotypic drug screening pipelines against high
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located at 1100 South Marietta Parkway, Marietta, GA 30060. Department Information DEPARTMENT SPECIFIC TASKS AND RESPONSIBILITIES: 1. Design and develop full-stack software solutions for 3D modeling and
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equivalency) degree. Preferences Preferred qualifications: • Computer-aided design in SolidWorks, Fusion 360 or AutoCAD, through to drawings ready for fabrication. • Experience with 3D printing, laser cutting
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representations, and flow matching) for uncertainty-aware 3D reconstruction of coronary anatomy from 2D X-ray angiography; develop physics-informed neural networks and graph-based neural operators for fast