25 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" scholarships at Monash University in Australia
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PhD Opportunity – Forensic Medicine, Department of Forensic Medicine, School of Public Health & Preventive Medicine Job No.: 688700 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time
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market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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new x-ray imaging techniques from the synchrotron to the laboratory Transforming breast cancer imaging with x-ray phase contrast Webpage: https://xrayimagingmonash.wordpress.com/ For further details
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PhD Scholarship – What is reproductive wellbeing? Job No.: 692156 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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PhD Scholarships – Integrating living evidence into adaptive platform trials to improve efficiencies within the research ecosystem Job No.: 689242 Location: 553 St Kilda Rd, Melbourne. Moving to 509
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will receive a Research Living Allowance, at current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level