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
-
Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate effectively in both oral and written forms
-
to younger women. The Scholar will use a custom python code on high-resolution confocal laser scanning microscopy-derived images of the network to map and quantify canalicular density and spatial organisation
-
and implementing statistically valid field-based soil research, including proficiency in statistical analysis and data interpretation using modern software (e.g., R, Python). Excellent communication and
-
production data ingestion, analysis, and visualisation, turning raw manufacturing data into actionable insights for process optimisation software development, particularly using Python, JavaScript, and HTML
-
programming languages such as Python and TypeScript/JavaScript, with a focus on automation and Infrastructure as Code development. Understanding of software development practices and principles, including
-
languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
-
. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
-
various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
-
processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
-
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