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contract ('E&R') and will receive career development opportunities to increase their knowledge of the research funding landscape across Arts and Humanities. Advertised to in part to provide teaching cover
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to link microbial communities to climate-driven biogeochemical shifts. You hold a PhD in Marine Biology, Microbial Ecology, or related fields, have a strong background in omics data analysis (R
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed
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technique by developing a statistical software (e.g., R package). In addition, he will be involved in the data-analysis through data collection (e.g., collecting satellite images) and analysis. We expect
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diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close Thursday 29 May 2025 at 11.00pm AEST (Job Reference Number: R-49462).
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epigenetic and transcriptomic data analysis Experience in UNIX and R programming and high-performance computing Demonstrated skills in computer programming with at least one scripting language (Python, Perl
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and