Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Queensland University of Technology
- The University of Queensland
- University of New South Wales
- Australian National University
- University of Adelaide
- University of Western Sydney
- La Trobe University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of South Australia
- 3 more »
- « less
-
Field
-
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
-
an opportunity for a Postdoctoral Fellow. You will contribute towards the research effort of UNSW in the field of machine learning algorithms to analyse luminescence images of solar cells or panels. This position
-
, 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
-
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
-
(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
-
software and advanced computer skills. Demonstrate the ability to learn new techniques quickly and deliver work in a timely manner. Have experience with advanced mass spectrometry platforms, particularly
-
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
-
research focus in a STEM related area such as mathematics, statistics, computer/data science, combined with an interest in AI and machine learning. You will ideally have experience in coding language such as