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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
discipline; proficiency in scientific programming; and demonstration of experience in quantitative research. PREFERRED: Experience in inverse modelling; experience of using 3D chemical transport models
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Staff Job Description A Glimpse of the Job The BIM Building Modeling Coordinator utilizes 3D Point Cloud Laser scanning technology to verify University space, update existing floorplans, and ensure
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or substantially by you. Examples may include: A 3D modeling/3D printing project, including an image and model file. An Arduino or electronics project, including an image or video and code. A laser-cutting or Adobe
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to changing requirements and environment Hands-on problem-solving skills Experience with creating 3D models using CAD software Experience with 3D printing (SLA, MJP, SLS, PolyJet, FDM) Experience designing and
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students in CNC milling, 3D Printing, object scanning and 3D modelling. About you Essential: A degree or an equivalent professional qualification in 3D digital design or demonstrable professional industry
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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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imagery in Agisoft Metashape to produce quality-controlled 3D models, orthomosaics and analytical outputs. Maintain documented, secure and quality-controlled databases for imagery, metadata, models and
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capable of integrating visual arts with technology and teaching students how visual design, 3D modeling and asset creation, animation, lighting, materials, shaders, optimization, and interactive features
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at the Department for Functional Materials in Medicine and Dentistry (FMZ) / Center of Polymers for Life (CPL), Julius-Maximilians-Universität Würzburg (JMU). The candidate will work on advanced 3D bioprinting and
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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model