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Field
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This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
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delivery of Deakin’s guiding plans for Education, Employability, and Research and Innovation and is implemented through enabling and operating plans. The Faculty Compacts set agreed goals and targets with
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relationships that drive and deliver desired outcomes, preferably in meeting or exceeding income targets from effective fundraising or business development activities. Demonstrated track record in relationship
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experienced financial leader with a proven track record in executive roles within large, complex organizations. While not essential, knowledge or experience in the higher education sector is considered
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devices (LFDs) against clinically important targets. Prior research experience in developing LFDs is a mandatory requirement for this role. The complementary knowledge across nanotechnology, molecular
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lateral flow devices (LFDs) against clinically important targets. Prior research experience in developing LFDs is a mandatory requirement for this role. The complementary knowledge across nanotechnology
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recognised research track record in the target areas of neuro-symbolic and trustworthy AI. Proven ability to sustain and grow Research Groups and Centres through the attraction of external funding. Extensive
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recognised research track record in the target areas of neuro-symbolic and trustworthy AI. Proven ability to sustain and grow Research Groups and Centres through the attraction of external funding. Extensive
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target through the application of best practice processes including the Information Technology Infrastructure Library (ITIL) framework combined with a high level of Information and Communication Technology
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focused on high throughput CRISPR screening to identify new cancer immunotherapy targets as part of an NHMRC Synergy Grant project titled “Improving outcomes for lung cancer patients: Discovering targetable