105 developer-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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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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to state-of-the-art infrastructure and scientific excellence. We pride ourselves in providing staff with the best opportunities for professional growth and development. We want to hire an exceptional
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Conceptualise studies and develop research designs Plan, execute, and manage research projects end-to-end Analyse data and synthesize findings Disseminate research through publications, presentations, and
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. The initial areas of research focus relate to precision cancer prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and
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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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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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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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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
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Singapore, the heart of East-West culture and business, NBS strives to develop leaders who can innovate for the future, transform organizations with cultural agility, and build sustainable enterprises across
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations