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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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fluid modelling. The Research Fellow will be employed and based at Nanyang Technological University (NTU), Singapore. The holder will: Develop and apply 3D fluid turbulence models for tokamak edge/SOL
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hydrodynamic modelling by integrating hydrodynamic, morphological, and geotechnical model. The successful candidate will work on developing and improving CFD modelling. The research may involve observational and
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large language models (LLMs) - spanning open-source models, LLM architecture, prompt design, and agentic AI frameworks - to help evaluate and advance responsible AI integration across the Agency. Project
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centralised data hub, and leverages this platform to build AI models for biomarker discovery and drug target identification. The selected candidate will perform a variety of research activities under
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. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories, to develop
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into emerging urban design practices, professional competencies, governance models, pedagogical innovation and regional urban transformation. Working within an international academic partnership, you will play a
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related areas. Develop new theoretical models, methodologies, and algorithms. Publish research outcomes in leading peer-reviewed journals and conferences. Prepare grant applications, technical reports, and
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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program focuses on heart failure (HF) with preserved ejection fraction (HFpEF) and includes mechanistic and therapeutic studies in humans and large and small animal models of HFpEF and HF related pulmonary