Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Queensland University of Technology
- University of New South Wales
- Australian National University
- La Trobe University
- Monash University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- UNIVERSITY OF ADELAIDE
- University of Adelaide
- University of Western Sydney
- 3 more »
- « less
-
Field
-
machine learning models with a focus on computational chemistry (e.g. machine-learned force fields) Experience with mechanistic and physical organic chemistry studies of chemical and biochemical systems
-
functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
-
for research leadership. Conceptualisation and completion of data analyses with skills related to epidemiology, biostatistics and modelling including machine learning methods A sound understanding of clinical
-
demonstrated aptitude to engage collaboratively with industry partners and other external stakeholders. Knowledge of optimisation solvers and proficiency in machine learning algorithms and their practical
-
machine learning, multi-level complex data engineering, emerging technologies in transport and economics analysis. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing
-
modelling, discrete choice modelling, designing choice experiments and machine-learning methods to address sustainable transport and mobility challenges. We’re offering this role as a hybrid position as part
-
one or more of the following areas: complex quantum processes, quantum error corrections, tensor networks, optimisation and machine learning, and developing software infrastructure Some experience in
-
with single-cell omics (Level A). This research aims to develop new statistical and machine learning methods to integrate and analyse data from genome-wide association studies (GWAS) and single-cell
-
You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert