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focus on efficient learning and large language models. Developing, implementing, and evaluating advanced machine learning models and algorithms to address challenging research problems and improve
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methodology/framework for multimodal large language models. The candidate will research and develop a methodology/framework for hallucination mitigation. The candidate is required to report its research
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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language will be an advantage, as the role involves engaging with diverse stakeholders from multi-lingual communities. We regret to inform that only shortlisted candidates will be notified. Hiring
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language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs), across a range of model scales and application scenarios. The Research Associate will advance efficient AI
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optimize automated binary analysis and open-source component detection systems. Design and enhance emulation-based fuzz testing frameworks for embedded environments. Apply AI and large language model (LLM
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of Microsoft applications. Tech-savvy, with a basic knowledge and understanding in SQL and web markup language coding. Proficiency in Chinese is essential as the job holder is expected to review database records
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cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI
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National Institute of Education - Part-time Lecturers (ELL) The National Institute of Education (NIE) invites applications for the position of Part-time Lecturer in the English Language & Literature (ELL) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as...
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in relevant discipline such as International Relations, Public Relations, Business, Economics, Communication, Linguistics, etc. Minimum 3 – 4 years of relevant and related working experience in