Sort by
Refine Your Search
-
Employer
- Monash University
- The University of Newcastle
- Queensland University of Technology
- Curtin University
- Swinburne University of Technology
- La Trobe University
- Monash University, Australia;
- Murdoch University
- University of Melbourne
- University of New South Wales
- University of Southern Queensland
- 1 more »
- « less
-
Field
-
fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
-
characterising spread of material for future star formation. Simulation and observational analysis of star formation regions as mission prep for planned NASA SMEX mission Eos and potential Monash cubesat project
-
. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
-
explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
-
level 2 Workforce training Meet our facilitators Meet our consultants Meet our leadership and management teams Learning design and innovation Hybrid working solutions Training needs analysis
-
explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
-
Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
-
research experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process
-
for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have
-
would also benefit from ecological analysis skills or have a willingness to learn these, as well as an interest in using advanced technology to study threatened species. An A-class bird banding licence