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regulatory requirements. Advanced computer skills, particularly experience using the Microsoft Office suite of applications. Ability to work with a high degree of autonomy while contributing positively and
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Overview: Join School of Computing Technologies to lead impactful Human–Computer Interaction research, drive responsible AI and inclusive technology innovation, and mentor the next generation of
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that achieve strong participation and impact. A strong track record of working collaboratively with diverse stakeholders in a service-oriented environment. Proficiency in a broad range of computer applications
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creative solutions Demonstrated high-level computer skills using Word, Excel, PowerPoint, a variety of booking and reconciliations systems, internet and email with the focus on accuracy and attention
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applications and the ability to quickly learn new technologies, including Microsoft Office Programs, Service Now, e-recruitment and onboarding systems including Workday (highly desirable) Proven ability
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will help set the research direction for machine learning within the School of Computer, Data and Mathematical Sciences — across deep learning, natural language processing, data science, and the
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Artificial Intelligence and Data Science, with a focus on computer vision. The successful candidate will bring expertise in one or more of the following areas: Vision-Language Models and Multimodality
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PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 10 hours ago
. The position reports to Associate Professor Elizabeth Williams at UNSW School of Science and has no direct reports. Who You Are (skills and experience): A PhD in nuclear science, human-computer interaction
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, Computing and Mathematical Sciences (EECMS), focuses on the design and development of next-generation distributed Intelligent systems using state-of-art technologies, i.e., edge-cloud computing, machine