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the safety of ML models with applications to several practical systems; and (c) document the steps of computational studies. Qualifications Applicants should have: (a) an honours degree in Safety
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development and implementation of deep learning models for the automated analysis of multimodal ophthalmic imaging data; (b) assist in integrating generative AI techniques into edge computing platforms
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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Department of Computing Research Assistant / Part-time Research Assistant (Ref. 251024004) (1) Research Assistant [Appointment period: three to six months] (2) Part-time Research Assistant
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deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
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delegates. Qualifications Applicants should: (a) have a master’s degree or a good honours degree in Computer Science, Information Technology or a related discipline with three or more years of research
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twelve months] Duties The appointees will assist the project leader in the research project - “A vision-language model-based human guided mobile robot collaboration approach for unstructured manufacturing
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compromise: Exploring scalability through integrated design and its application in smart cities”. The appointee will be required to: (a) model quantum computing platforms; (b) design quantum networks
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the