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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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of Environment. A $4,000 Award for a Māori student enrolled in a Masters or PhD programme in the School of Environment or the Department of Mathematics. An Award of up to $10,000 to support Māori and Pasifika
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& Innovation Precinct Innovation and Entrepreneurship Industry Research and Commercialisation Industry focused PhDs See all Industry and Community Local and global engagement La Trobe Sport International
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for, obtain and accept a PhD scholarship (under START) from the AU which the scholar is paired with. Upon graduation from postgraduate studies under START, the scholar would serve a bond of four to six years in
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or electrical engineering or environmental studies | Work placement opportunity PhD Playford Trust PhD Scholarships | 4 @ $26,250 over 3.5 years | Students undertaking a PhD in one of the Trust’s priority areas
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, which will have a weighting of 30% in the final ranking. Chair: PhD Luísa Lopes, PhD Catarina Martins, PhD Maria Esteves If the decision to be taken is unfavorable to the granting of the requested
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for Agriculture, Environment and Development of the University of Évora, under the general coordination of the Administrator of the University of Évora and the scientific guidance of the PhD, Maria Helena Guimarães
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Bachelor Degree with First Class Honours, or equivalent level; be currently enrolled in the PhD at UniSQ; be an Australian citizen or permanent resident, or New Zealand citizen; be studying in one