Sort by
Refine Your Search
-
humanities, computer science, information systems, user experience design, game design) Have strong social research (quantitative/qualitative) AND/OR computing design and analysis skills Provide evidence of
-
computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
-
large language models (LLMs). Candidates should have an interest or experience in culturally inclusive AI safety, multilingual NLP, AI ethics, or computational social sciences, and must hold a relevant
-
in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong analytical and problem-solving
-
, C#, Java, Q#, Q language, PennyLane, Qiskit, Quantum Development Kit etc. Please contact Aufeef Chauhan for more information. Potential candidates must have a good hold of distributed software systems
-
The primary objective is the development of computational methods and experimental techniques to investigate failure modes and quantify defects and damage in fibre reinforced hybrid composites used
-
the CSIRO Next Generation Graduate Program. Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd
-
, by bridging the gap between nanomaterials science and energy harvesting applications, this research paves the way for next-generation membranes with high-performance capabilities, unlocking new avenues
-
Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
-
In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation