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: Murdoch University Duration of Award: 3 years Level of study: Research Study Area: Engineering Eligibility How to Apply Eligibility We seek a highly motivated PhD candidate with strong machine learning
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for research leadership. Strong experience in at least two of the following areas: reinforcement learning machine learning, deep learning dynamic scheduling, optimisation and control Experience in developing
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diseases and/or addiction (MD) in addition to the PhD would be favourable Desirable: Knowledge of natural language processing and machine learning in electronic health records A track record of significant
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successful you will need: Explicitly address each selection criteria MSc/PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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and support clinical learning and teaching across the School of Clinical Medicine. The role reports to Head of Discipline and has no direct reports. Key skills required: A medical degree, preferably
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: Artificial Intelligence Search and Recommendation Data Science, Machine Learning, and Big Data Analysis Distributed Computing Cybersecurity Human-Computer Interaction The SCT will fast-track digital innovation
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genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD with demonstrated experience in machine learning A good-track record with data
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strong focus on machine learning and deep learning applications. Demonstrable experience in developing and implementing deep learning tools, particularly in the context of large-language models
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, statistics, data science, machine learning, or a closely related discipline. Preference will be given to candidates with expertise in one of the following areas: Applied econometrics or statistics