Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Monash University
- Curtin University
- RMIT University
- University of Adelaide
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Macquarie University
- UNIVERSITY OF WESTERN AUSTRALIA
- The University of Western Australia
- Central Queensland University
- James Cook University
- CSIRO
- Federation University Australia
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Nature Careers
- Queensland University of Technology
- RMIT UNIVERSITY
- University of Melbourne
- University of Western Sydney
- University of Wollongong
- 13 more »
- « less
-
Field
-
) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
-
technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
-
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
-
collection methods. You’re skilled in developing computational models and deep neural networks that reflect principles of human cognition and brain function. Your academic record includes high-quality peer
-
tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
-
to coordinating existing child and youth cancer and palliative care research within the Cancer & Palliative Outcomes Centre (CPC), for growing their own program of research, and for provision of strategic advice
-
infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
-
SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. The Intelligent Systems activity cluster within the School focuses on the computational modelling and
-
-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing