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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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scales is available at: https://apptrkr.com/get_redirect.php?id=7037597&targetURL= COMPENSATION: Salary: $90,000.00-$100,000. annually This represents the good faith estimate of the annual salary range we
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 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
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scales is available at: https://apptrkr.com/get_redirect.php?id=7037598&targetURL= COMPENSATION: Salary: $83,000.00-$90,000.00 annually This represents the good faith estimate of the annual salary range we
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level. COMPENSATION: Salary: $90,000 - $100,000 annually This represents the good faith estimate of the annual salary range we reasonably expect to pay for this position upon hire, based on the selected
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM), Chair
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Archiving and Communication System (PACS), applicable image upload software, and computer equipment to import images from digital media to PACS. Troubleshoots images and collaborates with Imaging Department
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participation in Kinesiology/Health/Physical Education professional organizations. Knowledge and implementation of best practices and methods in traditional, online, and hybrid instruction. Scholarly activity in
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team