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University of Kansas Department of Civil, Environmental, and Architectural Engineering | Virginia, Northern Territory | Australia | 25 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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based assays demonstrated skills in data management of large patient cohorts experience in academic publications and writing funding grants for research desired skills in applying advanced statistical
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-Contrast Tomography to transform cancer diagnosis’ (IMPACT). We are looking for an outstanding and motivated researcher to design and conduct research projects (from protocol development and data collection
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sequencing and big data analysis. This Postdoctoral Research-focused academic at Level A is expected to apply and develop their expertise in conducting research. They will conduct research and/or scholarly
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. Applicants do not need to have experience in all of these disciplines, but an enthusiasm to learn new approaches and handle large datasets will be advantageous Skills and Experience To be considered
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: Analyse and publish data from a large clinical SLP data-base (year 1) conduct a Delphi process to establish what data should be collected to create a national laryngeal disorders database in ENT/SLP.(year 2
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nationally. About you PHD in relevant field demonstrated experience in data preparation, data management, and analysis of large, population-based linked administrative health datasets ability to work in a
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balance. Equity and Diversity Swinburne is a large and culturally diverse organisation and we are proud of our commitment to equity, diversity and inclusion through key initiatives. For further information
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demonstrated experience in data preparation, data management, and analysis of large, population-based linked administrative health datasets ability to work in a multidisciplinary academic team, and independently
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. Strong expertise, demonstrated by high quality publications, in working with large reef community datasets and in running subtidal manipulative experiments. Experience in underwater visual census