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Field
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Preferred Qualifications Applicants with a PhD specialization in rhetoric and composition Evidence of attention to diversity, equity and inclusion in teaching and/or service. Compensation Grade Lecturer I, 9
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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are robust, especially in the selected industry use cases. This staff scientist position is linked to the research group Deep Data Mining in the department of Computing Science, which focuses on fusing data
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options Cheap parking (from just $5.75 a day) Salary packaging options About You A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business
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systems, real time and game programming, data mining, databases, security, theory, and artificial intelligence. Considerations: Exceptions to standard rates may apply to courses with unique credit hours
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datasets through collaborations with biomedical researchers; mine relevant public domain, commercial, and local datasets; implement integrative analysis of disparate sources of both omics and clinical data
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logistic regression, structural equation modeling, vector autoregression, and cross-lagged panel analysis); open-ended data mining; applied machine learning including Natural Language Processing, Large
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and postgraduate programmes. It is seated in the School of Mining, Metallurgy and Chemical Engineering (SOMMCE), and the overarching Faculty of Engineering and the Built Environment (FEBE
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understanding of applications of microbiology, climate change and mining rehabilitation, including the techniques relevant to the research. The appointee will have their own research program and collaborate with