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communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI
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, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict
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these processes influence susceptibility to infectious and inflammatory diseases. We integrate state-of-the-art mouse models, high-dimensional immune profiling, single-cell genomics, and functional immunology
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/analytical models of floating structures. Prepare project reports and publish scientific papers in peer-reviewed journals. Assist the PI in preparing research proposals and supervising research students. Job
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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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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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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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and model training to evaluation methodology and deployment Manage project milestones, deliverables, and timelines; coordinate with collaborators and stakeholders, and report progress to the PI
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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development in grid-forming converters, power electronics, and advanced energy systems. The role involves the design, modelling, control, implementation, and experimental validation of grid-forming power