Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Monash University
- The University of Queensland
- University of New South Wales
- Curtin University
- University of Adelaide
- The University of Western Australia
- Macquarie University
- Queensland University of Technology
- Swinburne University of Technology
- University of Southern Queensland
- Flinders University
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- Amgen Scholars Program
- Australian National University
- CSIRO
- Central Queensland University
- Edith Cowan University
- Federation University Australia
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of South Australia
- University of Tasmania
- 15 more »
- « less
-
Field
-
science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
-
computing systems using languages like python and fortran. Your ability to lead by example, coupled with excellent communication and interpersonal skills, will enable you to foster respectful and productive
-
microservices architectures, preferably with AWS CDK and Python skills. Demonstrate proficiency with monitoring tools such as Prometheus and Grafana. Excel in collaboration and communication, with the ability
-
teaching delivery or design, including use of e-learning technologies particularly in business analytics, and AI applications Advanced programming skills (ideally in Python) and experience handling large
-
microcontroller platforms and FPGAs (with proficiency in HDL such as Verilog) development of hardware control software stacks (with proficiency in C++ and Python) at the level of the system software engineer
-
of power system operation, planning and resilience. Good programming skills (e.g. GAMS, Python, Matlab). Demonstrated high level interpersonal and communication skills with the ability to work
-
reasoning and robotics C/C++ programming and knowledge Python programming
-
response, governance, or consulting. Experience managing security controls such as SIEM, firewalls, endpoint security, or secure email gateways is preferred; alternatively, proficiency in Python and
-
skills in fNIRS data collection, data mining techniques and data modelling (Python/Maltab). Lab Head: Professor Colette McKay, Translational Hearing Research Lab Contact: DGao@bionicsinstitute.org Project
-
, problem-solving and project management skills. Candidates with strong quantitative skills, including familiarity with python and astronomy are desired for this project. Must be eligible to enrol in PhD