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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Statistical Package for the Social Sciences (SPSS) and/or NVivo qualitative data analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large
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. The Research Assistant/Research Associate will play a key role in technical and scientific work of unifying large scale genomic (WGS, GWAS, long read) and non genomic (EHR, lifestyle, clinical) data from
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devices, smartphones, questionnaires and computer-based behavioral tests to collect large-scale, multi-sensor data streams. The research assistant will join a dynamic and multidisciplinary team conducting
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the short to medium-term burden of infectious diseases across large spatial scales using high-frequency data. Key Responsibilities: Develop models to understand the epidemic potential and instantaneous
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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FEM matches experimental data Use FEM to get large amount of data for machine learning Excellent learning ability Excellent communication ability Strong interest in machine learning Candidate should be
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in science education (preferred) Experience in statistical analysis (preferred) Skills in prompt engineering or proficient use of large language models Strong communication, organisational, writing
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using large language models, disease endpoint coding initiatives, and creation of common data model (CDM). He/she will also be expected to support/lead high-quality research in chronic disease
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with time-series data. The role involves conducting research on multimodal learning and leading technical development efforts within the project. Qualifications Applicants should meet the following