2,370 systems-science-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Fellowship positions
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approaches developed in the lab, and develop novel cancer immunotherapies targeting metastatic cancer cells. Cancer immunotherapy is one of the most important breakthroughs in the development of cancer
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invites applicants for a PhD Fellowship in Quantum-Safe Blockchain Technologies at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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suitable for a biological sciences postgraduate (Ph.D.) with a background in cell and/or molecular biology, tissue engineering, or animal physiology. The research projects will involve investigating obesity
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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on professional learning in science education. This collaborative research initiative seeks to advance transformative teaching practices through innovative, data-driven approaches across a range of educational
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on sensors and sensor systems. Organize meetings and intermediate technical progress reviews. Make presentations to partners. Job Requirements: Holder of an engineering PhD, preferably in the field of science
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Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 30/03/2026 ▲ Collapse Job Title: Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering
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equivalent experience Knowledge of AI Foundation Models, such as LLMs, LRMs, VLMs and World Models High quality publications in safety science and system safety venues Ability to research AI Foundation Models