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for research and experience in data science and graph theory. Experience in user interfaces that enable non-experts to utilize the developed tools. Experience shows progressive increase in productivity and
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(UNSW), Prof. Brendan McKay (ANU) and Prof. Ian Wanless (Monash). The project aims to develop new theoretical tools to address fundamental challenges about graphs and hypergraphs with given degrees
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for publication and knowledge translation. Writes statistical methodology sections of grant proposals. Leads data visualization, through the use of charts, tables, graphs, maps, infographics, and dashboards
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MeTrICS lab we are mostly focused on the development of tools for analysing biomedical surfaces and graphs, predominantly for modelling human brain development. About The Role We are seeking a Research
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cloud-based storage and service tools is helpful Preferred Qualifications: MS or PhD in a relevant field Experience with network neuroscience, graph theory, or connectomics Familiarity with high
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academic doctoral degree (PhD, ScD, EdD, or DHSc), OR Clinical doctorate in physical therapy (DPT) AND ABPTS certification. Current, active physical therapy licensure, and eligibility to obtain Michigan
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, urban networks (such as, electric grid and transportation networks), and urban disasters with a strong geospatial focus, statistical methods, graph theory, spatial computing, and semantic knowledge
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs
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machine learning methods to support meaningful data analyses. l Create high-quality and informative graphs and write corresponding manuscript sections to describe the methodology and results in detail