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. Experience with rapid prototyping tools (e.g., 3D printers, CNC machines, laser cutters, PCB fabrication). Experience in designing and modeling spacecraft, habitat, or mission environments using 3D modeling
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modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience
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builds; experience in developing and deploying AR applications on Microsoft HoloLens, including MRTK or equivalent frameworks, SLAM integration, and user-interface design; show a strong theoretical and
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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adults and/or children Experience of co-design and participatory research Experience of working at the arts-policy interface Experience in speaking, writing, and communicating findings and outputs
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computational design methodologies, data-driven design, and/or immersive technologies. Professional qualifications/skills Experience in grant writing and familiarity with competitive funding landscapes. Track
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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) for materials design. Demonstrated experience in connecting physics-informed models with data-driven approaches. Background in optoelectronic, spintronic, or quantum materials is a strong plus. Proven track
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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experiments to investigate the diverse mechanisms (e.g attention, acoustic and semantic processing) involved when humans listen to naturalistic auditory scenes. The experiments will collect behavioral, MEG (OPM