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areas: Time-series analytics or forecasting Natural language processing (especially question answering or language grounding) Multimodal learning (e.g., combining text with temporal or numerical data
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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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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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characterize plasma process equipment. Familiar with COMSOL software to simulate the influence of magnetic field on plasma flow. Conducts various design simulations to refine processes. Optimize vacuum coating
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the structure and functions of the human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU’s main campus, CoNiC is equipped
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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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liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Have relevant competence in the areas of Deep
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oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and conduct research on combining geochemistry, petrology, and modelling to better understand the signs of a
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for the project. Participate in the process of writing and publishing research papers in top-tier conferences and journals. Support the research team in documentation and reporting activities for the grant agency
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state