Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sydney
- UNIVERSITY OF SYDNEY
- University of New South Wales
- The University of Western Australia
- Nature Careers
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- UNIVERSITY OF WESTERN AUSTRALIA
- Macquarie University
- University of Tasmania
- Dementia Australia Grant
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Queensland
- University of Melbourne
- 3 more »
- « less
-
Field
-
, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
-
. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or
-
related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
-
density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
-
Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with
-
make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion
-
of Post-Doctoral Fellow will report to Associate Professor Anthony Newall and has no direct reports. Some key skills required: A PhD (or equivalent experience) in a quantitative discipline, featuring
-
: (Please review the Position Description for a full list of Skills and Experience) A PhD in Electrical/Mechatronic/Mechanical Engineering (machines & drives focus). Strong background in electrical machine
-
. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the
-
and the award of over $7 million in research funding each year. Our staff are also recognised for their outstanding commitment to teaching excellence. Click here to learn more about School of Chemistry