Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sydney
- University of New South Wales
- The University of Queensland
- Monash University
- CSIRO
- RMIT University
- Curtin University
- Queensland University of Technology
- RMIT UNIVERSITY
- Macquarie University
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Deakin University
- Victoria University
- James Cook University
- The University of Western Australia
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Tasmania
- Amgen Scholars Program
- CNRS
- La Trobe University
- Nature Careers
- University of Adelaide
- University of Southern Queensland
- 15 more »
- « less
-
Field
-
describing, storing, sharing and accessing research data, with a strong understanding of best-practice data management principles. Confident working with datasets using tools such as SQL, R, Python, QGIS
-
record of publication in quality, peer reviewed journals. A history of professional and respectful behaviours and attitudes in a collaborative environment. Desirable criteria Experience with python and
-
environmental/operational datasets using tools like Excel, Python, or R. You enjoy turning complex standards and frameworks into clear, repeatable methods—and you’re comfortable building your expertise as
-
period (until 30/1/2027). About the person Strong professional experience as a full stack developer, ideally with deep capability in Python/Django plus modern JavaScript/TypeScript and a frontend framework
-
packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
-
experience with a demonstrated commitment to ongoing professional development. Proficiency in programming languages, including Python, JavaScript, and familiarity with R where applicable. Experience with
-
methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
-
to coordinate changes with central teams. Scripting & tooling: ability to automate with Python, Bash and/or PowerShell; Git basics; familiarity with desirable. Data management: experience with NAS/NFS/SMB, backup
-
measurement e.g. physics, electrical engineering. A sound understanding of the fundamental principles underpinning the operation of solar cells. Proficiency in Python programming as applied to equipment control
-
technologies such as: BluePrism (Robotic Process Automation) Python-based automation Google Cloud Microsoft Azure As you grow and gain valuable experience, you'll have the opportunity to tackle complex