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manage experiments, including determining suitable methods. Interpret and perform complex data analysis and assess experimental outcomes. Develop and maintain a high level of expertise through current
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and grant applications. Key Responsibilities Provide intellectual and technical leadership in bioinformatics and computational biology to support high-impact, hypothesis-driven research. Lead and
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the Nuclear and Radiation Engineering Program to advance research in nuclear reactor multiphysics, digital twin methods, and uncertainty quantification for high-performance computing platforms using VERA, MOOSE
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-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering
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Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics
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environmental conditions Design and implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal
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implementation of high-performance transceivers and couplers for vehicular powerlines, working closely with a Research Engineer. Characterize conducted and radiative interference generated by PLC signal
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence