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a project funded in part by the Australian Research Council. The successful applicants will work with this team to develop new approaches to optimisation and control of large-scale windfarms in low
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. Demonstrated experience in performing simulations at the atomic-scale, such as density functional theory (e.g. VASP, Ab-init, Quantum espresso), molecular dynamics (e.g. LAMMPS, DL-POLY), development of inter
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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funded by the Advanced Strategic Capabilities Accelerator (ASCA) Emerging and Disruptive Technologies (EDT) program. This role will focus on developing and/or applying psychological theory- and data-driven
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understanding (or be capable of rapidly obtaining a good understanding) of concepts from discrete mathematics in relation to graph theory, Boolean function theory and related topics. An interest in applying
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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, Controlling the Risks”. We welcome applications from candidates with Level A, Level B or up to a level C (step 1) experience for this position. About us UNSW isn’t like other places you’ve worked. Yes, we’re a