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Field
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level
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departments to address complex issues through evaluation and problem assessment. 3. Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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computing capabilities to enable research at scale - from the processing of large, complex data sets to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are
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potential progression once in post to £87,974 Grade: 9 Full Time, Permanent Closing date: 25th September 2025 UK and International travel may be required for this role. Academic Development Programme - new
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research and teaching within The University of Queensland (UQ) School of Electrical Engineering and Computer Science (EESC). The QDA brings together academia, industry, and government to accelerate
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, algorithms, or computer science courses. Strong understanding of core data structures (e.g., arrays, linked lists, stacks, queues, trees, graphs, hash tables) and algorithms (e.g., sorting, searching, dynamic