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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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nominated on your application, you should proceed to the next step. Follow your faculty’s ‘how to apply’ process The process for applying for a PhD scholarship at Monash varies for each faculty, but in
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Status: Open Applications open: 25/09/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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of epidemiologists who collaborate nationally and internationally to advance ongoing surveillance activities and minimise the global burden of acute respiratory infection. This PhD project will use data from
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PhD research opportunity -The economics of preventing future health inequalities - Project-specific PhD opportunity in the Centre for Health Economics, Monash Business School Job No: 667935 Location
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of statistical packages such as R or Stata. Experience with longitudinal data, and clinical and administrative datasets would be an advantage, but is not essential Application process Please send your CV, academic
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Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be