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Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of
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devices via micro-Raman, SEM/TEM, electrical probing, and spectroscopic methods. Contribute to the validation and calibration of multimodal sensing techniques in collaboration with materials and data
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using, or developing, the appropriate methods and/or techniques; Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to
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are seeking a Research Fellow to contribute to a project focused on Numerical Methods for McKean-Vlasov PDEs. Key Responsibilities: Develop Numerical Methods for McKean-Vlasov PDEs/Master equations Job
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, TensorFlow, or PyTorch Familiarity with in vivo imaging, optogenetics or spatial transcriptomics methods is a plus Strong interest in bridging biological questions with quantitative approaches Excellent
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
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of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and
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to the terrestrial carbon cycle. Implement advanced statistical method to explore the vegetation dynamics. The formulation and testing of ecological hypotheses on vegetation dynamics. Presentation of results
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, TEM, XRD, AFM, XPS). Machine learning methods. High-throughput experiment design and data analysis. Scientific writing and communication. Data processing and visualization software (CrystalMaker