158 parallel-and-distributed-computing-"UNIS" positions at University of Adelaide in Australia
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candidate is identified. For further information For a confidential discussion regarding this position, contact: Professor Hung Nguyen School of Computer and Mathematical Sciences P: +61 (8) 8313 6214 E
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informed program aimed at better engaging and supporting the education of Aboriginal and Torres Strait Islander students. The collaborative project between several Australian universities, local communities
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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Health and Medical Sciences building on North Terrace. This role is critical to the delivery of the Human Biology and Biodental sciences curriculum for the Bachelor of Dental Surgery Program (BDS) and
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engineering trade-based manufacturing and maintenance. Demonstrated high level of computer literacy, knowledge and hands-on experience in use of specialized engineering software for design and manufacturing
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experience with data entry and use of databases. High level computer skills, including experience with Microsoft Office suite of products in particular, spreadsheet functions for the collection and reporting
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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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
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research travel is essential for the pursuit of the research project, this may include travel to the partner university to undertake a joint PhD program, invitations to continue aspects of their research
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Program at SAiGENCI. This involves ensuring comprehensive research training and professional development opportunities for students, contributing to performance monitoring, identifying opportunities