354 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Fellowship positions in Singapore
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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with the potential to collaborate in developing competitive research grant applications. Applicants must indicate the Research Cluster(s) concerned in their research proposal. Job Description Researchers
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Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop 3D vision. Candidates are expected to have a strong background in relevant
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are expected to develop and contribute domain knowledge, research skills and expertise at the host university while fulfilling the requirements of the CCDS IPF. They will also actively seek out collaborative
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students) if there is any Prepare research proposals and conduct presentations at seminars. Support the school in various teaching activities, including instructing or supervision of labs and tutorials Job
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highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing topological data analysis (TDA
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foundation to: Build a high-impact research portfolio Deepen expertise at the intersection of AI and science Develop strong international academic and research networks Accelerate the transition to tenure
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Materials, Bioinspired Materials and Sustainable Materials. The project is on development of cultivated meat to support Singapore’s aspiration of 30 by 30. There are 3 institutions involved in this project
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous