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. High analytical ability to analyse and illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models
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– $112,730 per annum, dependent on skills and experience For more information about this role, please refer to the Position Description About you Our ideal candidate: Has a PhD in Computer Science or in fields
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should have: A PhD degree in the following areas Business Analytics Artificial Intelligence Information Systems Marketing Other emerging or interdisciplinary fields relevant to Business Analytics; Proven
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, Embodied Intelligence, Human-Computer Interaction, Visual Analytics, Computer Vision, Data Mining, Computing Systems Hardware and Software, Networking and Distributed Computing, Theory and algorithms; Power
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of manufacturing analytics and predictive maintenance Experience building dashboards, workflow automations or data pipelines Exposure to AI/ML, natural language processing, document extraction or rules-based
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Resources Management, Strategic Management, Project Management, International Business, Digital Skills, and Data Analytics. However, applicants with exceptional expertise and teaching interests in other
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. Strong analytical and problem-solving skills. Experience working on innovation-led projects. Ability to translate technical solutions into commercial applications. Desirable: Master’s degree or PhD
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(the company, the university, and the graduate) For more information please go to www.ktp.org.uk Personal Training & Development Budget: The Systems Engineer (KTP Associate) will have access to a wider range of
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literacy, ethics, and responsible AI Digital technologies and computing education Learning analytics, data-informed education, or educational technologies Curriculum and assessment design for AI-enabled
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analysis, Rresource allocation, growth and welfare evaluation, Technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer-reviewed