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our website at https://www.cruk.cam.ac.uk/research-groups/wang-group/ In the Wang Group, we develop and apply interdisciplinary technologies that bridge high-resolution spatial biology and genome-wide
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( https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners
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the development of forms, questionnaires, and the application of research techniques; assists in writing instructional procedure manuals for study progress, data collection and coding, transfer of
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, Figma, or comparable professional software. Experience with professional design workflows and production processes, including typography and page layout, vector and raster image creation, photographic
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, Figma, or comparable professional software. Experience with professional design workflows and production processes, including typography and page layout, vector and raster image creation, photographic
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California State University, San Bernardino | San Bernardino, California | United States | about 2 hours ago
production processes, including typography and page layout, vector and raster image creation, photographic capture and image processing, branding and identity systems, motion graphics, print production and
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Department Campus IT Services Department Website Link https://it.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights University Information Technology Services (UITS) is the
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identification and delimitation, such as image recognition, but we are also open to your innovative ideas. Your contribution will break new ground, moving beyond current plant DNA barcoding methods to
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, lecture content, hands-on exercises, coding examples, and self-paced training modules. Provide technical training and onboarding for faculty, postdocs, Sr. Research Scientists, and trainees wanting
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performance. Building on an ongoing doctoral project and an established data collaboration in industrial technology, this project develops and benchmarks multimodal embedding approaches, text and image