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experience in earth observations and geospatial analysis. Through the ‘EXCELSIOR’ H2020 Teaming Project (https://excelsior2020.eu/ ), ERATOSTHENES Centre of Excellence aspires to become a Digital Innovation
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degree and a Doctoral degree from a recognized university in a relevant field (Information Systems / Business Administration) Experience in conducting research related to the field of expertise
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discovery. Preference will be given to candidates with expertise in AI and ML methodologies complemented with experience in the utilization of advanced computing technologies such as HPC and/or cloud
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(K.Y.S.A.T.S). The minimum qualifications that are required for each academic position, including publications and academic experience, are detailed on the University’s webpage: https://www.cut.ac.cy/university
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Qualifications (K.Y.S.A.T.S). The minimum qualifications that are required for each academic position, including publications and academic experience, are detailed on the University’s webpage: https
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Qualifications (K.Y.S.A.T.S). The minimum qualifications that are required for each academic position, including publications and academic experience, are detailed on the University’s webpage: https
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innovation and engineering execution. The ideal candidate will bring extensive experience in machine learning system design, product-oriented AI development, and hands-on project engineering management
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geospatial analysis. Cyprus University of Technology has a 16-year experience in earth observations and geospatial analysis. Through the ‘EXCELSIOR’ H2020 Teaming Project (https://excelsior2020.eu
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experience will be considered an advantage. LanguagesENGLISHLevelExcellent Additional Information Selection process Recruitment Procedure https://eratosthenes.org.cy/news-event/documents/ Website
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H2020 Teaming project (https://excelsior2020.eu/ ). ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole stakeholder, specialising in earth observation