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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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Field
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maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient. JOB LOCATION AND SCHEDULE: CITIC. Monday to Friday, from 10:00 a.m. to 2:00
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programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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of the algorithm in the Thermal laboratory. Development and demonstration of an optimal maintenance schedule algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the validated simulation
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varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is deeply collaborative
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply. JOB LOCATION AND SCHEDULE
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply JOB LOCATION AND SCHEDULE: CITIC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
Staff (SHRA) Position Title Research Technician Position Number 20073269 Vacancy ID S026200 Full-time/Part-time Part-Time Temporary Hours per week 20 Work Schedule Monday – Friday, 8:00 AM – 12:00 PM