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work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Prof Paul Harpur - p.harpur@law.uq.edu.au For application inquiries, please
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derivation of actionable insights. Identify and use suitable technologies, tools and algorithms which can be applied to research/business activities. Work with research group/business area to employ analysis
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information about this opportunity, please contact Prof Shaun Bond – s.bond@business.uq.edu.au For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job
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/MR/AR/smart sensors etc, so, students need to learn about the available tools the industry uses or can potentially employ to support the IDD and real-time data processing/management in construction
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design and development (front-end); • API design, database and hardware communication i.e., sensors and actuators (back-end); and • Security, implementation of security features to the system
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about the role, please contact Prof William Rickard (JdLC Director) at: w.rickard@curtin.edu.au Role Requirements: As this is a fixed-term contract, you will require current work rights in Australia
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: experience in qualitative research methods Application process To express your interest, please submit an EOI form address to Prof Tama Leaver (T.Leaver@curtin.edu.au ) in advance of the closing date (12
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. If successful, you will join Dr. Roberto-Martinez Maldonado , Prof. Dragan Gasevic , and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
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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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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