Sort by
Refine Your Search
-
This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
-
of analytical data to guide the generation of highly accurate 3D/2D molecular graphs or SMILES representations. Research Aims and Objectives This project aims to develop a robust, data-efficient deep learning
-
Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA
-
across the University. You’ll play a key role in identifying opportunities to streamline, digitise and automate financial processes, while delivering insightful analytics through data extraction, reporting
-
seamless and efficient data loads and post migration validation processes. The ideal candidate has strong analytical skills, a keen eye for detail, and the required technical skills to develop data
-
and data curation, undertaking statistical analyses and data integration, and generating publication-quality figures, reports and presentations. The position will also contribute to manuscript
-
graphs or multi-agent reinforcement learning. Strong programming skills in Python and AI frameworks such as PyTorch, JAX or TensorFlow, combined with excellent analytical, problem-solving, communication
-
Information and Services Officer - 2 vacancies Job No.: 697740 Location: Clayton campus Employment Type: 2 Part-time positions available, one at fraction (0.6) and one at fraction (0.8) Duration
-
of observational data, comparison of multi-wavelength data against model predictions, and/or demonstrated knowledge of multi-messenger science. The successful candidate will also have demonstrated analytical and
-
Information and Services Coordinator Job No.: 697742 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: HEW 6 ($100,155 - $108,106) plus 17