Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
centre wins four Victorian architecture awards This is an update to a media release first published on 2 May 2025The Munarra Centre for Regional Excellence, an Indigenous-led education hub in Shepparton
-
architecture. Research skills: Literature Review: Ability to analyze and synthesize existing research to identify gaps and formulate research questions. Methodology: Designing and implementing robust research
-
PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
-
via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
-
, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
-
research (including any specific instrumentation, programming, software etc) or relevant work experience Curriculum Vitae academic transcript All applicants should email the following to Dr. Brendan Dyett
-
My research explores ways to determine the atomic architecture of materials so we can understand and manipulate a material’s behaviour. At the atomic level, amazing and beautiful quantum phenomena
-
understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
-
engineering coupled with a master’s degree and/or job experience in the relevant topic. A track record of publications and relevant software skills would be a plus point. The ideal candidate will have a
-
developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas