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learning. Access to clinical data for medical research and education is often difficult because of lengthy data sharing agreements and privacy concerns. Two complementary approaches to facilitate access
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of adult learning programs. This will be informed by approaches, innovations and technologies in learning and teaching practice that enhance the adult learner experience, with a focus on Aged Care topics
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apply for independent research fellowship and collaborative research funding. How to apply Learn more about this position and apply here .
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consistently ranked in the top 1% of the world's universities. CRADLE conducts research in the area of assessment and digital learning and collaborates with Deakin Learning Futures and faculties through joint
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of operations of radio frequency equipment emerge in increasingly complex, congested and contested spectral environments. With recent advances in machine learning across multiple fields, the time is ripe for a
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will have the opportunity to co-supervise PhD students. Focusing on the fundamental problems in generative 3D vision and deep learning, the research outcomes for the project are expected to be published
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the likely location of these patches in upcoming seasons. Therefore, we are seeking a research fellow with expertise in remote sensing and data science (machine learning), along with some experience in
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science (machine learning), along with some experience in agriculture, to process/analyse large remote-sensing datasets in support of the development of weed management tools. There will also be
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including Linux and specialist bioinformatics software Knowledge and experience of pangenomics or machine learning applications is desirable About your application Full details of the position's
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collaboration opportunities. Learn more about Monash . The Opportunity We're seeking Research Fellows to lead transformative initiatives at the National Centre for Healthy Ageing (NCHA) Ageing Well Clinics