Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Monash University
- UNIVERSITY OF WESTERN AUSTRALIA
- Macquarie University
- University of Adelaide
- Australian National University
- RMIT University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Curtin University
- Flinders University
- James Cook University
- RMIT UNIVERSITY
- University of New South Wales
- University of Sydney
- The University of Western Australia
- CSIRO
- Deakin University
- FLINDERS UNIVERSITY
- Queensland University of Technology
- University of South Australia
- University of Tasmania
- ;
- Australian Catholic University
- Charles Sturt University
- LA TROBE UNIVERSITY
- La Trobe University
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SYDNEY
- University of Western Sydney
- University of Wollongong
- 20 more »
- « less
-
Field
-
, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
investigators (named above) and a range of Australian and international collaborators. The research will involve the analysis of certain sub-elliptic diffusion processes which are induced by geometric flows, with
-
the conduct of relevant externally funded research, including project design, implementation, analysis and administration, with published outcomes. Demonstrated high-level verbal and written communication
-
for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
-
Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
-
scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
-
interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
-
Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
-
classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
-
modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate