119 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
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on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
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audiences. Mentor and collaborate with students and interdisciplinary team members, and build partnerships with external stakeholders such as community organizations or industry. Support lab development
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine
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, stability). Engineer antibodies for enhanced function (Fc modifications, bispecific formats, humanization). Evaluate therapeutic efficacy in cell-based assays and murine tumor models. Develop the workflow
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Responsibilities: To perform pioneer research in scent digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different
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, develop novel methodologies and systems, and ensure rigorous validation and dissemination of results. Secure external research funding and manage sponsored projects in collaboration with faculty and
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responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development. The candidate may also have opportunities to supervise junior researchers
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responsible for developing innovative solutions in the encapsulation of active agents such as nutraceuticals, novel immunostimulants etc in fish feeds for broodstocks in order to optimize egg and larval quality
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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop