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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here . To see what the Science and Medicine at ANU
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for conducting quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis
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Wind Tunnel (IWT) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management
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data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we anticipate submission of a
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. Application Procedures The following application materials must be submitted via Academic Jobs Online position # 30300 by October 31, 2025. Information Cover Sheet (will be generated via your AJO account): (a
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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, economics, geography, psychology, computer science or related field and some experience with environmental data and large data sets. Due to requirements of the funding source, must be a U.S. Citizen or U.S
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will develop, implement, and apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics