180 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Nanyang Technological University in Singapore
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Senior Research Fellow
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function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
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causality so that we can translate mechanistic insights into therapeutic strategies for mitigating type 2 diabetes and related metabolic conditions. For more details, please view: https://dr.ntu.edu.sg/cris
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heritage, traditional performing arts, or community-based cultural research. Familiarity with qualitative research methods and analysis, including coding, thematic analysis and interpretation of interview
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interest for in-depth research on the policy-research agenda mentioned above. Preferably have some knowledge of AI such as vibe-coding skills and/or how to use AI for research, media and/or improve
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other research data in accordance with research ethics and data management requirements. Assist with qualitative data coding and analysis using NVivo or other relevant software. Support the preparation
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protocols, and research opportunities. Contribute to technical reports, project deliverables, research papers, code repositories, and presentations. Work closely with the PI and collaborators, participate in
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administration. The Research Assistant will also handle data management (including cleaning, coding, and analysis), ensure compliance with ethical and institutional requirements, and contribute to grant reporting
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propagation and system robustness. Develop, maintain, and document research codes and computational workflows supporting the project. Prepare research findings for publication in high-quality international
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for Fusion Energy Key Responsibilities The project aims to develop and improve a three-dimensional, flux-driven, nonlinear two-fluid code for tokamak plasma simulations. The Research Assistant will be employed