Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Monash University
- University of Sydney
- The University of Queensland
- University of New South Wales
- CSIRO
- Curtin University
- RMIT University
- Queensland University of Technology
- UNIVERSITY OF SYDNEY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Macquarie University
- ADELAIDE UNIVERSITY
- The University of Newcastle
- The University of Western Australia
- WESTERN SYDNEY UNIVERSITY
- BOND UNIVERSITY
- Flinders University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- UNIVERSITY OF MELBOURNE
- University of Southern Queensland
- 10 more »
- « less
-
Field
-
Desirable experience: embedded systems development (C/C++) firmware development and debugging modelling, simulation, and data analysis using Python and/or MATLAB experience with thermistor sensors
-
tools such as Microsoft Office, Python, or R. Proven ability to plan, coordinate, and deliver work in complex field environments, with a strong commitment to safety and risk management. Well-developed
-
development (C/C++) firmware development and debugging modelling, simulation, and data analysis using Python and/or MATLAB experience with thermistor sensors, piezoelectric actuators, infrared cameras
-
(for example Python) Experience in research and or consultancy, ideally related to water management or mining Excellent written communication skills, including the ability to produce high-quality scientific
-
audiences • Proficient in documentation, technical writing, and reporting • Experience in large-scale automation deployment project by Automation tools, proficiency in Ansible, Python, Bash shell and
-
hands-on experience with tools such as SIEM, EDR/XDR, vulnerability management, email security and cloud security technologies. Experience with scripting or automation (e.g., Python, PowerShell or Bash
-
e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
-
in languages and tools such as Python, Java, C/C++, Go, JavaScript/TypeScript, or equivalent. Ability to design and conduct experiments, analyse results, and report findings clearly for technical and
-
chromatographs, potentiostats, and other auxiliary equipment required for CO2 electrolysis experiments. Strong data processing and analysis skills, including fluency in Python coding, and some experience using
-
, epidemiological and/or linked administrative health datasets using software packages such as R, Stata, SAS or Python. Demonstrated success, relative to opportunity, in obtaining competitive research funding and/or