Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
into the life of the School through the development of high-quality, productivity-driven research networks across RMIT and with local and national, internal and external partners. Please note: We welcome
-
valuable industry insights and in-depth knowledge. We offer a comprehensive suite of programs—from undergraduate to doctoral levels—designed to prepare students for success in an increasingly complex and
-
TensorFlow or PyTorch Knowledge of neural networks – especially convolutional neural networks (CNNs) Understanding of image processing techniques – including filtering, edge detection, and image segmentation
-
neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate
-
research role in embedding their research expertise into the life of the School and will be required to develop high quality, productivity-driven networks across RMIT and with local, national and global
-
. Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. 9. Teaching experience: Recent and sustained performance
-
& Network Engineering) Demonstrated ability to prepare and deliver programs at undergraduate and post-graduate levels, including online delivery, and the ability to produce high quality curriculum or program
-
degree by research candidates. Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Excellent interpersonal
-
be required to develop high-quality, productivity-driven networks across RMIT and with local, national and global, internal and external partners. The Senior Lecturer may have responsibility