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applicants from diverse backgrounds. About you- You should have: A PhD (or near completion) in a relevant discipline such as social science, geography, planning, architecture, public health or a related field
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research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities
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contacts to develop knowledge and understanding, forming relationships for future collaborations. Collect and analyse internal and external data related to careers service performance. Compare service
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to support fast growing capacity requirement, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro
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additional collaborators including Prof. Alexander Babanin (University of Melbourne, Australia), will form a team of supervisors for the PhD fellow. The research will involve running customized numerical
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) as soon as you start your application to ensure they are able to complete the recommendation form and to let them know to expect a message from Zintellect. Recommenders will be asked to rate your
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• Demonstrated track record of publishing in peer-reviewed international journals The grade of appointment will be accorded based on qualifications and work experience. Interested applicants are invited to apply
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variety of research activities under the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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To apply, fill in the scholarship application form [PDF 871.56 KB] and send it to us by the closing date. Email: QASIndigenousRecruitment@ambulance.qld.gov.au Post: QAS University Scholarships