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University of Kansas Department of Civil, Environmental, and Architectural Engineering | Virginia, Northern Territory | Australia | 8 days ago
quality variations across time and space, from local to global scales. The project will leverage large-sample datasets and high-performance computing to advance transferable insights into what controls
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Data Science, Machine Learning, and Big Data Analysis Cybersecurity Distributed Computing Software Engineering Digital Health To Apply Please submit your CV and covering letter addressing the Key
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Intelligence and Natural Language Processing Data Science, Machine Learning, and Big Data Analysis Cybersecurity Distributed Computing Software Engineering Digital Health To Apply Please submit your CV and
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effects in patients with psychiatric disorders. The primary focus will be on the development of polygenic scores in large datasets, including in the UK Biobank (N=500,000), US All of Us Program data (N~1
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computational skills and experience in R, Python, Jupyter, Notebook, and genetic/genomic tools (e.g., PLINK2, GCTA, MR, FUMA). Experience with big data analytics within Linux and cloud computing environments, and
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: Electrochemistry Analytical chemistry and spectroscopy Computer programming/DFT calculations Thermal spray fabrication This role involves supervision of PhD Students and is expected to contribute to a culture of
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exciting opportunity for a Research Fellow/Senior Research Fellow (Level B or C) to work within the Children's Intensive Care Research Program (ChIRP) on leveraging large volumes of granular paediatric
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large-scale datasets, including data cleaning, preprocessing, and analysis. Online software application development: Assist in designing, developing, and maintaining software applications and tools
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conditions. The project aims at collecting clinical data, as well as leveraging existing data from large scale studies such as the Australian Imaging Biomarkers and Lifestyle study of ageing (which include
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Proven track record in analytical research and publication A demonstrated capacity to collate, curate and analyse large bacterial genome datasets Proficiency in Python/R for data analysis and visualisation