196 proof-checking-postdoc-computer-science-logic positions at University of Adelaide
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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must: Be enrolled in first or second year of a Bachelor of Engineering (Honours)(Civil) program of study including associated double or combined programs Be an Australian Citizen, Permanent Resident
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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packages and a track record of delivery on project-based work. To be successful at Level HEO8 you will need: Have excellent and extensive industry experience in computer science, data science or (applied
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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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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
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, applied physics, or related disciplines Experience in supporting the laboratory needs of physicists and maintaining equipment and computers to help researcher students and staff Experience working with
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into student engagement trends, you will help shape strategies for marketing, program promotion, and the recruitment of diverse student cohorts. Working under the guidance of the Lead, Domestic Undergraduate
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, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer Science