137 post-doc-image-processing Fellowship research jobs at Nanyang Technological University
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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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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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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. Key Responsibilities: To develop process for electroreforming of biomass to chemicals and fuels To fabricate device prototypes of plasmon-enhanced electroreforming of biomass Conduct research and
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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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organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work collaboratively in a diverse workforce
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organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work collaboratively in a diverse workforce
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multidisciplinary team driving transformative sensing technologies. Key Responsibilities: Develop and optimize fabrication processes for sensor arrays based on 2D materials (e.g., graphene, MoS₂), including flexible