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Job Description The National University of Singapore invites applications for Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo
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Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python Perform literature searches and scientific
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analysis, manuscript preparation and grant applications. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares. Appointments will be made on a yearly
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statistical techniques and protocols to assess primary production, organic matter decomposition, marsh surface elevation change, and/or ecosystem responses to disturbance. Responsibilities will include
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Strong computing skills that ideally include matlab and/or R. Use of statistical models. Excellent written and statistical skills A familiarity with marine conservation and coral reefs would be
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statistical analysis skills and a solid publication record where you'll contribute to the academic discourse surrounding addiction research. If you're passionate about utilizing neuroimaging and
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deploying the appropriate tools to rigorously test these hypotheses. We use a variety of molecular biology, statistical, genomic, and epigenomic approaches to understand cancer. If required, we develop novel
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of commencement of employment. Research experience to include: Experience of anaerobic microbiology and in vitro technologies Experience in designing experiments and statistical analysis Demonstrable computational
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. Documented experience with quantitative analysis of physiological, molecular or bioinformatics data. Documented experience with the statistical software R (or equivalent) and reproducible programming and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 15 hours ago
experience in any of the following are encouraged to apply : stellar spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics