237 postdoctoral-image-processing-in-computer-science-"U" Fellowship positions at Nanyang Technological University
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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, figures, and presentations Key Competencies and Requirements: PhD in biology, medicine, or related field > 2 years of postdoctoral experience in cancer biology or metabolism Expertise in live cell imaging
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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Job Description College of Computing & Data Science International Postdoctoral Fellow Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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progress reports at regular intervals. Present research progress and latest findings periodically. Job Requirements: A PhD degree related to Engineering Design, Information Science, or Systems and Software
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. This position is ideal for candidates excited about computational science, HPC, and building powerful tools to simulate complex geological processes. Key Responsibilities: Implement efficient and scalable