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innovation roadmap as a key for IDMxS’ integrated industry-oriented R&D programs and applications. The role is to include strategic leadership in identifying local and global industry needs as
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programming and data analysis, including fluency in R and/or Python Experience in managing code repositories Record of scientific initiative and creativity in research or development activities Capable
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., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage. • Field or laboratory
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suitability for the role. Applications close Sunday 13 July at 11.00pm AEST (R-52461). Please note that interviews have been tentatively scheduled for July.
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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2025 at 11.00pm AEST (R-52194). Please note that interviews have been tentatively scheduled for Friday 27th June 2025. #LI-DNI
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling
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infectious disease epidemiology Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly