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This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather
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Faculty/Department-Level Unit: The Built Environment Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 04/03/2026 Job Description • Develop and implementation
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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development. This includes (as examples) researcher with qualitative research expertise (including intervention co-design), expertise in epidemiology/biostatistics, including the use of routine health and care
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the topic of the Futures of Work, to develop our understanding of how foresight informs strategy. The Futures of Work topic might include aspects such as: The nature and meaning of work, including
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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning
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fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
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the development of novel DNA Damage Response (DDR) therapeutics. Job Description Develop strategies and conduct experiments to diversify the lead molecule into second-generation compounds with a better therapeutic