Sort by
Refine Your Search
-
Program
-
Employer
- Curtin University
- RMIT University
- Swinburne University of Technology
- University of Adelaide
- Queensland University of Technology
- Monash University
- University of Technology Sydney
- Australian Academy of Science Research Funding
- Griffith University
- Murdoch University
- Real Futures Grant
- The University of Newcastle
- University of Southern Queensland
- University of Sydney
- 4 more »
- « less
-
Field
-
finite element analysis (FEA). Data Analysis and Statistics: Knowledge of statistical software packages (e.g., R, Python, SPSS) and data visualisation techniques. Desirable experience Experimental Skills
-
Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with
-
expected to actively participate in study 1 recruitment and data collection at the Newcastle and Maitland sites, and in overall statistical analysis. In addition, they will have the opportunity to be
-
), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
-
to demonstrate expertise in epidemiology, statistics, and/or nutrition science. You will have evidence of a passion for quantitative research, with an ardent desire to undertake research in predictive and health
-
chemical analyses, handle hazardous materials, and use statistical analysis software to interpret research data and draw conclusions. Technical writing skills: • Ability to write research papers and reports
-
Institution Staff School Staff About Contact Leadership Advertising Media Centre Postgraduate@QTAC Prepaid Vouchers Privacy and legal Publications Statistics Contact Leadership Advertising Media Centre
-
mandatory. Where applicable, proficiency in statistical software and programming environments such as R, Stata, SPSS, Python, etc., would be useful. Applying: Please visit instats.org/workwithus to submit
-
statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include
-
on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses