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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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, supply, and market trends. 2) Analyse Energy Data Collect, clean, and interpret large datasets from various sources including smart meters, weather systems, and market reports. 3) Monitor and Validate
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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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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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participants Ability to communicate effectively orally and in writing Excellent computer competency, basic knowledge of coding Excellent ability to manage large multi-source data set Responsibilities: Recruit
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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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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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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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-superconductors Enhancing multidisciplinary research on complex interfaces by fostering collaboration between state-of-the-art X-ray, neutron and muon techniques Presentation of data at meetings and conferences