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given to applicants from the Eaglehawk (postcode 3556) region that can provide evidence of financial hardship. For information regarding providing evidence, please click here . The successful applicant
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components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment. This technology has the potential to significantly enhance
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for this project. The successful applicant will be required to hold a Working With Children Check (WWCC) and police check, at their own cost, in order to undertake field work and to be onboarded with FNLRS data
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affiliated with the Olga Tennison Autism Research Centre Who to contact for further information Scholarships Office, scholarships@latrobe.edu.au
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specialisms such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry
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-engaged and participatory research approaches are particularly welcome, and the successful candidate will be supported with access to local networks, data, and industry expertise. Benefits
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to attend promotional events and participate in promotional activities in keeping with the spirit of the scholarship. Maintain satisfactory academic progress. Who to contact for further information
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. Shortlisted applicants will be invited to a final selection round and may be asked to provide further information, interview or video submission. Announcement of the scholarship awardees International students
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is at the discretion of the student. Who to contact for further information Scholarships Office, scholarships@latrobe.edu.au
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-structure noise and rapid regime shifts. Integrate real-time data streams. You will experiment with heterogeneous inputs like tick-level prices, news sentiment, order-book depth, macro indicators and