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on site Undertake the input and analysis of data, including ensuring effective security, storage and distribution of data, records and reports Provide sound and timely advice, guidance and support to
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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surrounded by extraordinary ideas - and the people who discover them The Opportunity If you are a current Monash Master’s or PhD student and can work 3 days per week, the Monash Research Office has
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I am seeking PhD candidates interested in working on designing Learning Analytics innovations to study classroom proxemics by analysing and visualising indoor positioning data (along with other
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Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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/ Phd qualification). These scholarships are not applicable to recipients of other scholarships from other countries or other scholarship providers *Minimum academic requirements to be considered
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into infrastructure investment. The program helped me really open up, gain leadership and public speaking experience and gave me a better understanding of the industry and what I want to do next in my career. Am I
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy