13 speech-processing "https:" "UCL" Fellowship positions at Hong Kong Polytechnic University
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-qualification experience at the time of application. For both posts, applicants should also have: (a) strong research background in speech deepfake detection, spoken language processing and/or speech
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operation and bioinformatic analysis; (b) prepare academic manuscripts for publication and project proposals; (c) assist in research-related administration; and (d) perform any other duties as
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carbon air travel in Hong Kong”. They will be required to be involved real-time monitoring of the new biorefinery process for SAF production, signal/data analysis, AI-assisted modelling, sensor and data
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twelve months] Duties The appointees will assist the project leader in the research project - “A memory-enhanced AI agent coordination system for human-centric manufacturing process monitoring and
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engagement, developing educational toolkits and self-help training manuals, conducting on-site spatial and storage consultations, executing stakeholder engagement programmes externally, processing recording
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- “CO2-to-fuel process integration and innovations 1”. Qualifications Applicants should: (a) have a doctoral degree or an equivalent qualification and must have no more than five years of post
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to those with: (a) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modelling; (b) experience in AI and geospatial computer version; (c) advanced
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, technical project reports and knowledge transfer documents; (e) assist in coordinating project activities, including lab maintenance, equipment operation, supplier/industry engagement and academic seminars
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: (a) have experience related to children, neurodiversity, special educational needs, sensory processing, inclusive education or tool development; (b) have an excellent command of both written and spoken
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preparation, and proposal preparation; (e) have strong statistical knowledge and data analysis skills; (f) be proficient in using Python for data processing and text mining, and traditional qualitative