Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Adelaide
- University of Sydney
- UNIVERSITY OF SYDNEY
- Monash University
- The University of Queensland
- CSIRO
- Curtin University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- Federation University Australia
- Macquarie University
- Queensland University of Technology
- RMIT UNIVERSITY
- The University of Western Australia
- University of South Australia
- University of Tasmania
- 9 more »
- « less
-
Field
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 10 hours ago
output, and strong computational skills (Linux, Python, R, HPC). You’ll bring experience handling large genomic datasets, developing analysis workflows, and contributing to funding bids. Strong teamwork
-
the conversion of experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python Support research by performing data analysis tasks Liaise with clients regarding delivery of soft
-
-disciplinary team in advancing applied research in 3D deep learning and forest science programming experience in Python and experience using deep learning tools such as PyTorch, Keras and/or Tensorflow ability
-
metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
-
experience in hardware implementation and experimental validation of robotic systems; and demonstrated proficiency in robotics programming and simulation environments (e.g., ROS, MATLAB/Simulink, C++, Python
-
, commensurate to opportunity. Demonstrated proficiency in Python, including data handling and backend development. Demonstrated experience developing applications interfacing with machine learning libraries like
-
, R, Python, STATA). Experience managing and analysing large, complex datasets. Strong communication skills to translate complex methodologies for diverse audiences. A collaborative mindset and ability
-
, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based
-
as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience