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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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people within (staff and PIs/co-PIs within the programme) and external to the university (industry partners and funding agencies). Self-directed learner who believes in continuous learning and development
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cilia and nuclear signaling in the brain. Position Summary: We seek a candidate with strong expertise in microscopy and computational image analysis to: Support and enhance ongoing imaging projects in
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary
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-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics. The Research Fellow will join a dynamic multi
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research