313 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions in Singapore
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level students in their research projects. - Contribute to curriculum design, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven
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epidemiology to identify needs and develop strategies to enhance the experience of ageing in Singapore. CARE thrives on creating a collaborative and interdisciplinary space among research staff as
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develop their experience in AI-enhanced learning environments and educational psychology within a dynamic, interdisciplinary team. The candidate will be expected to: Conduct literature reviews on Gen-AI in
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peptides, antimicrobial assays development, and electrochemical studies efforts led by the other partners in the consortia. The candidate shall work under the supervision of the Principal Investigator, who
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modelling Reconstructing the temporal evolution of magma reservoir properties at one of more potential caldera systems. Petrological timescales will be determined via diffusion chronometry and/or
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will have opportunities for involvement in other projects taking place within the lab. Key Responsibilities Engage in academic activities (prepare manuscripts, reports, grants, and present findings in
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decarbonisation, data analysis, methodology development and applications Coordinate the preparation of project reports and deliverables Publish findings in top peer-reviewed journals and conference proceedings
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aspects of health at NUS and in Singapore, and beyond; and to develop interdisciplinary translational research and evaluation methods to support our evidence-based approach. We aspire to become the leading
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs to scalable solutions. Additionally, the role