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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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: 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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are looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high
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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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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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: 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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: biomedical photonics, biomedical instrumentation, wearable technologies, biomedical integrated circuits and sensors, neural engineering, optogenetics, and medical machine learning. Quantum Engineering: quantum
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, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications. Demonstrable experience in analysing large-scale single-cell genomic data
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students and faculty conduct world leading research in many areas of computing, including in: Artificial Intelligence Search and Recommendation Data Science, Machine Learning and Big Data Analysis