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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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human health. By bringing together expertise across environmental science, exposure assessment, epidemiology, public health, and predictive modelling, CCEH develops evidence-based solutions to support
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. Perform in vivo studies using relevant animal models. Analyze and interpret experimental data, including nanoparticle and delivery performance measurements. Besides, the senior RF is expected to supervise
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(RL) training for large language model (LLM) agents. Prepare and submit conference papers. Co-supervise undergraduate and/or graduate students. Support teaching activities, including course preparation
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Models. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in programming languages including C/C++, Python, Java, and Go. Familiarity with Digital Content Forensics
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: Towards Infinite Dimensional Generative Models. The contract period of the position is up to three years subject to funding availability. Applicants should be familiar with and have track records in
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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to increase university engagement with industry that facilitate tech transfer that benefited university and industry. The role will focus on data curation, AI model training, edge-AI deployment, subjective
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design