Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Macquarie University
- Monash University
- RMIT UNIVERSITY
- University of South Australia
- Australian National University
- DEAKIN UNIVERSITY
- La Trobe University
- Queensland University of Technology
- RMIT University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Melbourne
- University of New South Wales
- 4 more »
- « less
-
Field
-
have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
-
:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
-
fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
-
record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
-
The School of Mathematics and Physics The ARC Centre of Excellence in Quantum Biotechnology (QUBIC) Full-time, fixed-term position for 12 months with possibility of extension Base salary will be in
-
computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
-
independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
-
research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
-
of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
-
provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and