13 coding-"https:"-"https:"-"https:"-"ENS-PARIS-SACLAY" research jobs at University of Sydney
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satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and
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University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual
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, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found
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University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual
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to: Conduct literature reviews and scoping activities focused on autistic wellbeing, including sourcing, coding, and synthesising academic literature to inform research. Support the design and delivery
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of relevant training and experience, experience conducting literature searches, running code, and managing both numeric and sequence data in a research-intensive environment, experience with at least one data
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on diversity and inclusion . How to apply Applications (including a cover letter, CV, most representative academic publications (up to 3), and any additional supporting documentation such as link to code/other
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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs