Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Australian National University
- The University of Queensland
- University of New South Wales
- University of Adelaide
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Curtin University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- University of Western Sydney
- Deakin University
- La Trobe University
- Nature Careers
- Queensland University of Technology
- RMIT University
- University of Tasmania
- 7 more »
- « less
-
Field
-
and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
-
. Experience with bioinformatics tools and libraries for genomics analysis (e.g., Seurat, Scanpy, CellRanger, Nextflow, Singularity, Docker). Expertise in machine learning techniques and deep learning frameworks
-
independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
-
discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
-
collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal
-
, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team
-
computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
-
(PhD entry level $105,518 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods to analyse
-
(PhD entry Level - $108,156 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods
-
to work collegially with other staff in the workplace. Demonstrated computer literacy and proficiency in Microsoft Office and specified university software programs, with the willingness to learn new