Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Monash University
- The University of Queensland
- Curtin University
- University of Adelaide
- University of New South Wales
- The University of Western Australia
- Macquarie University
- University of Southern Queensland
- Flinders University
- Queensland University of Technology
- Swinburne University of Technology
- Australian National University
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- Amgen Scholars Program
- CSIRO
- Central Queensland University
- Edith Cowan University
- Federation University Australia
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Tasmania
- University of Western Sydney
- 15 more »
- « less
-
Field
-
, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational
-
knowledge, skills and minimum of 5 years' experience with a commitment to ongoing professional development. Proficiency in programming languages including Python, JavaScript. Experience with Natural
-
, building, and maintaining Infrastructure as Code (IaC) solutions using tools such as Terraform, AWS CloudFormation, AWS CDK, Azure Bicep, and ARM templates. Proficiency in automation/scripting with Python
-
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
-
, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis
-
of immunology/cell biology Experience with HPC-based analysis and in the analysis of single-cell ‘omics’ data, particularly scRNA-seq Fluency in R/Python including critical packages for the above analyses A high
-
research setting. Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, Power BI). Experience with data mining, modelling, and visualization techniques. Curious mindset
-
Python, with familiarity in deep learning libraries like Transformers and PyTorch, as well as statistical analysis tools. You’re confident working with diverse stakeholders and possess excellent written
-
programming skills in C/C++ and Python. Proficiency in AI/ML frameworks such as PyTorch and TensorFlow. Expertise in implementing tracking algorithms and multi-sensor fusion techniques. Experience with real
-
developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface