15 phd-computer-artificial-machine-human Fellowship positions at RMIT University in Australia
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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artificial intelligence and contribute to the supervision of postgraduate research students. In addition, the role requires effective project management to ensure outcomes are delivered to the required
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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salary and 17% Superannuation Based at one of the RMIT’s Melbourne campuses (City, Brunswick or Bundoora) About the Program Each year, RMIT brings on the world’s best and brightest researchers and teams
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tools rapidly. Good communication skills appropriate for multidisciplinary collaboration. Ability to coordinate teams and conduct timely management of research projects. Qualifications Level B: Hold a PhD
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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postgraduate research students. Ability to contribute to the teaching and learning program in a relevant field. Qualifications: Mandatory: PhD in Ecotoxicology or Environmental Science or in a relevant field
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC