Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Monash University
- University of Adelaide
- Australian National University
- Curtin University
- RMIT University
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of South Australia
- Deakin University
- Macquarie University
- Victoria University
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- Central Queensland University
- Flinders University
- Queensland University of Technology
- RMIT UNIVERSITY
- University of Western Sydney
- CSIRO
- Federation University Australia
- James Cook University
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Nature Careers
- University of Tasmania
- University of Wollongong
- 18 more »
- « less
-
Field
-
closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
-
on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
-
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
-
essential, mathematical theory frequently suggests its value is low. This misalignment creates a gap between modelling and practice. The research will focus on developing new theory to explain why
-
experience in at least one of the following would be highly regarded: (i) the theory and simulation of scattering, diffraction and imaging with high energy electrons or X-rays; (ii) solving inverse scattering
-
protocol development, psychotherapy coordination, database design and participant engagement strategies. This position sits within a collaborative team of neuroimagers, modellers, psychedelic-based
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 24 hours ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
simulations to examine protein structure and function. This includes using advanced sampling methods and free energy calculations. The role involves publishing research in peer-reviewed journals, presenting
-
, you’ll have / you’ll have as a minimum: Essential Extensive lab experience in nanobiotechnology or a related field, ideally working with self-assembled proteins/peptides and/or lipids (model cell membranes
-
independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free