222 buidling-information-modelling Fellowship research jobs at Nanyang Technological University
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The School of Physical and Mathematical Sciences (SPMS) invites applications for one Research Fellow (RF) position to develop state-of-the-art seismic modeling, inversion, and imaging technologies
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Research and develop a methodology/framework for 2D/3D object detection
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The successful applicant will be responsible for the development of a software platform to
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-event modelling and simulation and data-driven applications Excellent programming skills and experience in large system development Ability to work independently and with a large team Excellent analytical
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Responsible for performing quality assessment for 3D digital asset
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(MATHEMATIC MODELING OF MACROMOLECULAR ASSEMBLY) Key Responsibilities: Utilizing advanced techniques such as single-molecule imaging and super-resolution imaging Conducting quantitative protein biochemistry
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background in relevant areas. Key Responsibilities: Conduct research on the design and implementation of applied cryptographic protocols for privacy-preserving of AI models and data. Conduct research
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information retrieval, multimodality sensemaking, question answering and chain-of-thoughts. The Research Fellow will work on a project to conduct the research on development of multimodal large language models
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: To conduct independent research in deep learning. To produce
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. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling