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photogrammetric software, and surveying instruments. Able to use GIS software (ArcPRO, QGIS), use of Matlab/Octave, drone processing software like PixElement, Pix4d, image processing software like iWitness A drone
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience with radiation detectors Experience with vacuum systems and cryogenics Experience with data acquisition systems Experience with digital signal processing Experience with simulations and/or data
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for applying for this position, Declaration forms (no. 5‒7) and personal questionnaire template (no. 2) can be obtained at: https://cso.uj.edu.pl/en_GB/dokumkandyd The course of selection procedure The first
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary To provide recycling and waste management maintenance services to support the University’s Waste
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algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct human studies of the algorithms and techniques in
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algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct human studies of the algorithms and techniques in
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questions Actively contributing to a collaborative, interdisciplinary research environment Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=ebf3efd7a… Requirements
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 2 months ago
-018-9301-4 Guayacán-Carrillo & Sulem, 2024. Comp & Geotech, 171, 106355. https://doi.org/10.1016/j.compgeo.2024.106355 Orgogozo et al., 2023. Computer Physics Communications, 282, 108541, https
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: the cardiopulmonary pre-clinical course ‘module’, formal lectures, small and large, short- and long-term team instruction, and the use of recently developed simulation technology. Some teaching will also occur in