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Qualifications Work Experience : Four (4) years of experience in Computer Science , Information Technology, Statistics, Mathematics or related field. Relevant education may be substituted for experience on a
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Europe's leading academic departments within the fields of economics, finance, strategy, marketing, management and data science. As an employee at BI Norwegian Business School you will meet exciting
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through the FCT - Fundacao para a Ciencia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology). 1. GRANT DESCRIPTION Type of grant: Research Grant (BI) General scientific area: COMPUTER
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Job Description Apply now Executive (Data Science) University-Level Unit: Office of Finance Faculty/Department-Level Unit: Projects, Applications and Data Intelligence Employee Category: Executive
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Job Description Apply now Executive (Data Science) University-Level Unit: Office of Finance Faculty/Department-Level Unit: Projects, Applications and Data Intelligence Employee Category: Executive
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Technology (FCT), I.P. 1. GRANT DESCRIPTION Type of grant: Research Grant (BI) General scientific area: ENGINEERING,MATHEMATICS,COMPUTER SCIENCE Scientific subarea: Electrical engineering,Applied
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Regulations for Grants of INESC TEC and relevant annexes at www.inesctec.pt/bolsas Where to apply Website https://www.inesctec.pt/en/opportunity/AE2026-0278 Requirements Research Field Computer science
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BI Norwegian Business School's Department of Communication and Culture invites applications for this four-year doctoral scholarship in the EMANAIRE project “Managing Team Communication in AI
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on the computer-based test, or 90 on the internet-based test. IELTS: overall score of 6.5. TOEFL and IELTS scores must be from the preceding two years. The BI institution codes are GMAT 0529, TOEFL
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departments (physics, math, computer science, materials science and engineering, EECS, Information Science and Technology, electrical engineering), including Profs. Zhen Bi, Long Qing Chen, Swaroop Ghosh