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Field
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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the day-to-day operational effectiveness of the school. Your expert organisational skills will enable you to manage multiple and often competing tasks while ensuring our online and in-house operations
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techniques for near-field microwave systems, design and test antennas/antenna arrays for near-field microwave imaging, model and simulate antenna and algorithm performance, participate in lab testing, write
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maintain a streamlined shared services framework; provide problem solving of requested support by academic staff and other stakeholders; support multiple facets of the academic and delivery lifecycle
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the headspace website. Possible approaches to addressing this challenge might include: Developing algorithms to identify patterns and preferences based on service users’ previous content engagement
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engagement, and thrive in collaborative environments. Your attention to detail, project management skills, and ability to juggle multiple priorities make you a trusted partner in crafting meaningful
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multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours. This combined
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% superannuation Location: UNSW Canberra, ADFA Campus About UNSW Canberra University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital. UNSW Canberra distinguishes itself from
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research related to management and analysis of complex data sets. Data Management research storage, indexing and querying of complex data algorithms for managing big data efficiently at scale Big Data
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multiple delivery partners including Information and Communications Technology (ICT), Advanced Analytics & Planning (AAP), Finance, Human Resources (HR) and multiple partners in our faculties and schools