Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Monash University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- University of New South Wales
- Curtin University
- RMIT University
- University of Adelaide
- Charles Sturt University
- Flinders University
- RMIT UNIVERSITY
- UNIVERSITY OF WESTERN AUSTRALIA
- Federation University Australia
- James Cook University
- Nature Careers
- The University of Western Australia
- University of South Australia
- University of Sydney
- University of Tasmania
- 9 more »
- « less
-
Field
-
will work closely with the project’s Chief Investigator, Dr Joanna Melonek, and will be actively involved in experimental design, data analysis, and dissemination of findings through publications and
-
to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
-
an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
-
temperature, flux rate, surface coverage, plasma composition and excitations. The seeding process of a new layer in heteroepitaxy requires large-scale surface modelling with accurate force-field parameters
-
metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
-
experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
-
using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant
-
work well within a diverse and collegial team. Learn more about the ground-breaking research and world class facilities of the Centre for Gravitational Astrophysics . For more information about these
-
of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
-
, data analysis, report writing and publication contributions and the development of a focused research program aligned with NDRI’s mission. Leadership and Service Help foster a supportive, inclusive, and