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methodologies 3. Strong publication record commensurate with the applicant’s career stage. 4. Algorithmic and model development skills, and a familiarity with relevant machine learning libraries. 5
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skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning approaches. Experience in
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approaches to non-invasively localise ventricular arrhythmias, collectively characterised by the integration of patient imaging and electrical data, with state-of-the-art in-silico modelling and AI-algorithms
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computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven experience applying
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mechanism design, algorithmic game theory, or social choice theory, as evidenced by peer reviewed publications 3. Strong mathematical and analytical skills 4. Excellent written and oral
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, algorithms and theoretical computer science, cyber security, communication and information technology, and systems development and evaluation. We teach in the Bachelor of Science, Technology, and Engineering
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undertake research across a wide range of computing fields, including software engineering, data science, algorithms and theoretical computer science, cyber security, communication and information