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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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of designated staff on trainings, and research projects. Contribute to research, writing and coordinating of grant application process and management of proposals. Perform other related duties incidental
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research papers, coordinating grant application processes and management of proposals. • Perform other related duties incidental to the work described herein, including contributing to occasional
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the term of their appointment. In addition to annual leave, the Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure
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(e.g. ample academic resources in the libraries, rigorous ethics review processes); cross-departmental collaborations and industry research collaborations are also encouraged. Faculty from NUS Business
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to uncover SRL patterns in video-based learning (VBL) and digital game-based learning (DGBL) environments; • Conduct process mining and network analysis to differentiate SRL patterns between high- and low
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the application form, programme structure, mentorship, service agreement, application process – can be downloaded here . The application deadline is 31 December 2024. The Evaluation Committee will only start
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of
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to ensure all project deliverables are met. • Design a Natural Language Processing algorithm for identifying Personal Identity Information data. • Design and evaluate privacy preserved Generative AI-based
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties