941 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at Nanyang Technological University in Singapore
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research support for the development of carry-free peptide PROTAC assemblies by executing experimental workflows, including molecular synthesis, cellular assays, and in vivo validation. Meanwhile, the role
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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as instructed. Assist in instrument set up, implementation, development, and validation under supervision. Basic biological experiment including but not limited to assay, cell culture, gel
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of monthly reports. Conceptualise, plan and manage events from start to the end. Collaborate with stakeholders and domain owners to define key performance indicators and set metrics for university-wide events
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status promptly. Ensure applications are reviewed by SSC within the given timelines. Arranges for SSC meetings and take simple minutes. Plans visit programme, research and teaching seminars. Coordinates
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The School of Humanities aims to enhance its Graduate (Coursework) programme offerings, and by extension further develop its professional development capabilities through the Skillsfuture scheme
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execution across all stages of funded projects while adhering to grant protocols and guidelines. Monitor budgets, review expenditures, prepare financial reports and virements, and ensure audit readiness
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Propose and develop state-of-the-art methods to overcome existing problems. Train and evaluate the models and systemically compare them with recent models. Prepare papers and reports. Develop systems based
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for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training and inference processes Conduct experiments to compare with
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare