39 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Universität-Wien" research jobs in Australia
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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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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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the future La Trobe’s Cultural Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe
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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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necessary to support the research project and the PCRC, including data collection, coding, and entry. About the role $88k - $100k plus 17% Superannuation and annual leave loading Fixed Term – 11 months
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activities necessary to support the research project and the PCRC, including data collection, coding, and entry. NOTE: THERE ARE X2 ROLES AVAILABLE. About the role $88k - $100k plus 17% Superannuation and
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develop new techniques for optimisation/modification of the laser pulse parameters, such as pulse focusing, filamentation, chirping, and temporal compression. Validate computational codes and implement
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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
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. An understanding of the Australian Energy Market. An understanding of data centre and server operations. Experience with collaborative software practices such as version control and code review. Background in
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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