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project - “STF -automotive component data- driven and real-time predictive universal vehicle self-diagnosis system”. Qualifications Applicants should have: (a) a doctoral degree in Mechanical Engineering
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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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enhance workflows of Extraction, Transformation and Loading (ETL) to consolidate data and meet reporting and analytics requirements; (f) design, develop, test, and maintain Robotic Process Automation
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. Preference will be given to those with experience in using Microsoft Power Platform, AI-assisted programming tools, or programming languages (such as Python, SQL) to support data analytics and administration
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computer applications and IT skills, such as MS Word, Excel and PowerPoint; (d) have good analytical, organisational, interpersonal and communication skills; (e) be a good team player; (f) have a
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Science in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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communication and interpersonal skills. Preference will be given to those who have prior experience in related disciplines to Management, Marketing, and Business Analytics. Applicants should submit an updated CV
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strong sense of ownership in driving various HR initiatives; (d) strong critical thinking, analytical, communication and interpersonal skills, with the ability to generate new ideas in pursuit
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big data analytics, to drive innovation and digital transformation in alignment with the University’s Strategic Plan; (b) formulate and implement cutting-edge and innovative IT strategies, policies
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certification, energy, environmental or sustainability management; (d) have hands-on experience in project management as well as data analytics and supply chain management; (e) be self-motivated, detail-minded