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observations and video data coding. Experience of collating and organising large amounts of data (video/audio) Skills in or knowledge of managing/using a Network Attached Systems (NAS) to store data. Skills in
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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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technology, or a related field. At least two years of postdoctoral research experience, with demonstrated scholarly independence. Expertise in longitudinal data analysis, psychometric and measurement
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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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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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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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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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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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pedagogical research locally and internationally. This will be achieved through a narrative review of two large evidence bases – the CORE Research Programme conducted by the Centre for Research in Pedagogy and
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Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams’ research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes