Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
-
places you’ve worked. We’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we
-
developing, evaluating or translating mental health interventions and/or experience in analyses of mental health data involving large samples, including data driven approaches. Demonstrated ability
-
-applicable to candidates who have been awarded a PhD) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Fixed Term employment for 12 months (with possible extension
-
undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
-
places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it
-
– including use of specific substances, substance use disorders, and injecting drug use – among trans and gender diverse people. We have a large, energetic team already established for this work, and the
-
and methods for analysing and harmonising large-scale single-cell and spatial cell data. This position offers an exciting opportunity to shape the future of computational approaches in precision
-
successful you will need: A PhD in Petroleum Engineering or related fields, with an established record of publications in international peer-reviewed journals. Demonstrated skills and experience in core
-
successful you will need: A completed or nearly completed PhD in structural geology, tectonics, rock mechanics and/or experimental modelling of geological processes. An established record of scientific