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cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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. Experience in cell culture (2D and 3D). 2. Experience in molecular biology techniques. 3. Experience in microscopy and image analysis. 4. Experience in bioinformatics. 5. High level of English (B2 or above). 6
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University of California Agriculture and Natural Resources | Davis, California | United States | 3 months ago
science, GIS, drone technologies, or STEM education. Experience with photogrammetry, LiDAR processing, remote sensing analysis, and 3D modeling. Knowledge of data management practices, cloud-based
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to include: Assist in the operation and maintenance of all lab equipment (sample preparation, electron/optical imaging, analysis, 3D printing, etc.) for project data Assist in the safe and proper training
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planning VMAT, IMRT, SBRT, and 3D plans. Working Conditions Needs to be able to successfully perform all required duties. Office/Healthcare environment; some travel and weekend work is required. UTRGV is a
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of PFAS. 4.- Close collaboration with researchers at ICRA working on the development of PFAS analysis and PFAS destruction technologies. 5.- Preparation of scientific publications and participation in
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, peptides, nanoparticles, small molecules, or pretargeted imaging/therapy systems. Experience with PET, SPECT, biodistribution studies, dosimetry, or quantitative imaging analysis. Experience with in vivo
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field