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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd/selection/background-checks
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, GitHub, frameworks, content management systems) Animation (2D/3D animation, motion design, Adobe Animate, Toon Boom, Maya/Blender) Motion Graphics (visual storytelling, typography, Adobe After Effects) Job
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
Design Students will develop skills in the areas of bitmap/vector graphics, audio/visual production and editing, 2D/3D modeling and animation, and video game design. Students will produce immersive
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preferred qualifications for the position Curriculum Vitae A statement of teaching philosophy addressing an idea for an introductory class in 3D product design A portfolio of creative work in graphic design
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16 Jan 2026 Job Information Organisation/Company Télécom Paris Research Field All Other Computer science Technology Researcher Profile Recognised Researcher (R2) Positions Research Support Positions
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related to such activities, in accordance with the graphic standards established for each operational programme. The dissemination of research results funded under the RBI shall comply with the applicable
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an advantage 3D engine development experience Familiarity with core engine technologies such as engine architecture, multi threading, streaming, computer graphics and advanced real-time rendering techniques
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(UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer