17 postdoc-numerical-modeling positions at Swinburne University of Technology in Australia
Sort by
Refine Your Search
-
Category
-
Field
-
, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
-
ultracold gases or condensed matter systems. Experience with numerical simulations is expected, along with a high level of motivation and a genuine interest in fundamental research. About You To be suitable
-
to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
-
business case development and cost modelling to forecasting, variance analysis, and performance reporting. Acting as a trusted advisor to Project Managers and Portfolio Delivery Managers, you’ll help shape
-
performance reporting and analysis to the Executive Group and Council. • Lead the modeling and production of University- wide load and revenue analysis and prepare recurring and ad-hoc load and revenue
-
, simulation environments, and rapid prototyping. About You To be suitable for this role you will need to have experience in the below key accountabilities: · Strong background in modelling and simulation
-
to the Executive Group and Council. • Lead the modeling and production of University- wide load and revenue analysis and prepare recurring and ad-hoc load and revenue reports including key metrics, trends and
-
health setting Proven capability in risk assessment, crisis intervention, and case management High-level understanding of therapeutic approaches, supervision models, and mental health issues affecting
-
education, driven by digital disruption, shifting student expectations, global competition, and evolving funding models, we are seeking a visionary academic leader as Pro Vice-Chancellor Academic Program
-
. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers