265 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Monash University
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing
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This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof). The primary aim
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first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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first receive an invitation to apply from the relevant faculty before beginning your application. To apply and find more information visit our How to Apply website or contact our Graduate Research
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submitted by the specified deadline. If you are a new applicant, you must first receive an invitation to apply from the relevant faculty before beginning your application. For more information visit our
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year. For more information on this scheme, please contact our Graduate Research Admissions team on E: mgro-apply@monash.edu . CLICK HERE TO APPLY
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The proliferation of misinformation and disinformation on online platforms has become a critical societal issue. The rapid spread of false information poses significant threats to public discourse
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techniques in bacterial genomics, including both short- (Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include