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member and contribute to team development Understanding of spatial multiplexing technologies desirable Experience in analysis of pipelines leveraging Machine Learning/AI desirable Experience in the wet-lab
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health courses, ensuring high-quality, place-based learning experiences. Additionally, you will support the development of professional courses and work-integrated learning experiences, fostering evidence
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solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI models, and prompt engineering techniques to advance decision-making, automation, and
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to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal and organisational skills. Experience with machine learning methods and data
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development opportunities Up to 26 weeks (six months) paid parental leave Access to an Employee Assistance Program and Fitness Passport Position Requirements A PhD in Information and Communications Technology
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in order to maintain its lead in research and teaching. We have an existing highly successful research team in the area of the appointment, a large number of PhD students, and a substantial cohort of
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI
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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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direction to achieve its ambitious goals. They will champion excellence in teaching, learning, research, and service, fostering a sense of unity, collaboration, and shared purpose within the Faculty
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. Relevant Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing