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and implement AI-based NLP solutions, with a focus on large language models, reasoning, and healthcare applications. Assist with data curation, dataset construction, and conducting experiments or user
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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in Azure Data services, preferably Microsoft Fabric. • Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and
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workshops for student leaders, large-scale sports-related events etc. Provide administrative and logistical support to the varsity sports teams and/or student events. For example: hiring of Part-Time
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on large volume of data Well-organized with good monitoring and follow-up skills within tight deadlines Confidentiality, tact and discretion when dealing with confidential data Positive attitude, able
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Information, Knowledge and Library Services (OIKLS) within SASD, this position will contribute to the Library’s purpose of ensuring that NTU community has seamless access to information and services to support
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experience managing cross-functional teams and collaborating with internal and external partners. Prior experience in budget tracking, procurement processes, and reporting within large-scale programmes
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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, as well the big data analysis. Evidence of excellent written and communication skills and evidence of independence in research direction and team spirit. Candidates with recent publications in relevant