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for developing externally-funded research programme by supervising / coaching students at bachelor / master / PhD / doctoral degree level; Contribute to the success of the Department by initiating new internal and
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ability to translate complex data into accessible, user-friendly visualisations. Desirable Requirements MSc or PhD in Data Science, Geoinformatics, Computer Science, AI, or a closely related quantitative
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expected to: Maintain an active and high-impact research program; Compete successfully for external research funding such as Tri-Council grants or other similar national or international peer-reviewed grant
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of the on-boarding programme, raising the awareness of newly hired lecturers, teachers and PhD students regarding approaches to learning, teaching and mentoring, and providing structured support to their integration
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Cyprus and governed by an acclaimed Board of Directors. The research agenda of the CyI is pursued at its five Research Centres, namely: The Computation-based Science and Technology Research Centre (CaSToRC
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Summary We are seeking a Professor of Smart Manufacturing to join our School of Architecture, Built Environment, Computing and Engineering, providing strategic academic leadership across teaching, research
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scientific outputs and discoveries with world influence. Qualifications PhD degree in Computer Science, AI or related areas; Preference will be given to candidates with specializations in Brain-Inspired
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, motion tracking, and computer vision methods, we study both typical development (with a strong focus on adolescence) and atypical social behaviours in clinical populations to improve the understanding and
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QUALIFICATION/EXPERIENCES A doctoral research (normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer
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applicant will have a conferred PhD in Medicinal Chemistry or a closely related discipline. What we offer The University of Auckland is New Zealand’s leading university and has significant computational