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of less experienced academic staff, plus an understanding of governance and quality management systems within a university. Qualifications: Mandatory: A PhD in Electrical/Electronic Engineering or
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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, chemical, mechanical, electrical and electronic and automation robotics. The School of Engineering has an established and dedicated team of teaching and research academics providing undergraduate and post
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an operating budget of around $18 million. For further information about our School, please visit - https://www.unsw.edu.au/engineering/our-schools/electrical-engineering-telecommunications Skills & Experience
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. The skills of the group are in high demand across multiple high-profile research fronts, and the current academic staff members frequently asked by external partners to lead strategic research initiatives
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pathways Design and implement innovative, technology-enhanced learning experiences across multiple delivery modes Build and sustain productive relationships with industry, government and community partners
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an impact by: Delivering high-quality, student-centred teaching in Design and Technology across multiple delivery modes Teaching core ITE units in areas such as design thinking, design processes, and material
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in a university setting High-level communication, stakeholder engagement and negotiation skills Qualifications Mandatory: PhD in Civil Engineering Please Note: Appointment to this position is subject