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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
week 40 Work Schedule Monday – Friday, 7:00 AM – 6:00 PM; variable hours Position Location North Carolina, US Hiring Range $13.00 - $15.00 per hour Proposed Start Date 06/16/2026 Estimated Duration
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our compensation scales is available at: https://apptrkr.com/get_redirect.php?id=7037400&targetURL= COMPENSATION: Pay Rate: $75,000 - $80,000 annually This represents the good faith estimate
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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24 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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/Required Qualifications KSA’s Working knowledge of computer applications and the ability to use computer for providing class presentation. Ability to communicate complex subjects in a clear and engaging way
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/Required Qualifications KSA’s Working knowledge of computer applications and the ability to use computer for providing class presentation. Ability to communicate complex subjects in a clear and engaging way
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synthesis of organic compounds and afterwards the study of their properties and application within the RedFox project. The goal of the project is to develop new methods for the reduction of phosphine oxides
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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/Administrative Internal Number: 7036939 Research Assistant Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/121
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional