323 parallel-and-distributed-computing-phd uni jobs at Monash University in Australia
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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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This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need
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geopolitics and related areas such as trade policy and international business, to large and culturally-diverse cohorts of undergraduate and postgraduate students. We welcome candidates having a research program
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a completed or near-completion PhD in Banking and/or Finance, and demonstrate emerging leadership in research and education. You bring: Research expertise in one or more high-demand finance fields
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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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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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hold a PhD or equivalent experience in Pharmaceutical Science, Chemistry (Analytical, Medicinal or Pharmaceutical) or a related discipline from a recognised university. Experience with a range of
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational