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The School of Electrical and Electronic Engineering is seeking to hire a talented Research Fellow in natural language processing and large language models to work with a team from multiple
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The School of Electrical and Electronic Engineering is seeking to hire a talented Research Fellow in natural language processing and large language models to work with a team from multiple
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The School of Electrical and Electronic Engineering is seeking to hire a talented Research Fellow in natural language processing and large language models to work with a team from multiple
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of Computing, to work on large language models, with application to text summarization. The initial appointment is for a period of one year, with possible extension subject to research funding availability
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learning/analysis. Prior research experience and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python
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aiding fuzzing techniques with large language models. Tasks Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques
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research experience in machine learning, deep learning, computer vision. Mastering of a programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with
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(SLIONS) system for language learning and/or speech rehabilitation. The RF will work in a multi-disciplinary team to help develop 1) machine learning algorithms, 2) an automatic lyrics generation system
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scientific research, the frontiers of misinformation debunking frameworks have evolved from train-from-scratch neural detectors to powerful agents empowered by Large Language Models (LLMs). However, three key
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degree from a reputable institution, and preferably have formal work experience in biodiversity and/or specimen-based research after obtaining the PhD degree. • Language: Applicants must have good command