17 application-programming-android-"Multiple" Fellowship positions at University of Adelaide
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                project-based research for 0.2 – 0.4 FTE (to be negotiated) at the direction of the Chief Investigators in projects involving multiple disciplines (social psychology, behavioural sciences) as 
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                . We are seeking to attract an outstanding applicant who has the expertise in radiation sciences who will be expected to undertake research, education and service (including outreach). The research 
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                spectrometry). Successful track record in conducting and driving research, including experimental design, execution and manuscript writing across multiple projects. The path to Adelaide University We 
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                prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm 
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                , breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career. It 
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                workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long 
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                at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with 
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                government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial 
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                publications, commensurate to opportunity. Demonstrated proficiency in Python, including data handling and backend development. Demonstrated experience developing applications interfacing with machine learning 
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                This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong