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-nauczycieli-akademickich (załącznik nr 3d) LINK EN: https://wbliw.pwr.edu.pl/pracownicy/konkursy-dla-nauczycieli-akademickich (załącznik nr 3d1) 10. A statement that the candidate's total professional
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construction. The doctoral student will work with DISSECT’s material and logistics layers. The research may include GeoBIM and 3D voxel models of ground conditions, quantities and material flows; material
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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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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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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 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
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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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, 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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analysis software for the purpose of processing and analyzing neuroimaging data. Develop and apply advanced statistical and analytical approaches to neuroimaging and related data using software programming