97 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "CERIC ERIC" Fellowship positions in Australia
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the Forrest Research Foundation website: https://forrestresearch.org.au/creative-fellowships/ Enrolment Requirements To be eligible to take up a Forrest Research Foundation Creative Fellowship
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coding skills Emerging research and scholarship through publications, and/or exhibitions as appropriate to the discipline Ability to contribute to communities through research Here's how to apply: Please
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policy outputs Adhere to AIATSIS Code of Ethics and Indigenous Cultural and Intellectual Property protocols About You: A PhD in a relevant discipline (e.g. geography, planning, political economy, law
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and ensure reproducibility through well-documented analytical code and workflows. Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and
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people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender
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. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful
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Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code
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, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to
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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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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