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relevant data science and machine learning tools. Able to work independently and comfortably with a team and external/international collaborators. Able to handle multiple tasks relevant to both project and
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participants. The projects assigned to the candidates will be aligned with their skillsets and career goals. The candidates will be involved in other projects as well for continuous learning and peer support
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience
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these conditions. Independently carry out the design and execution of experimental research required by the research component of the project. Independently design, plan, and execute experimental research aligned
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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training at a leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides Monthly stipend
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viral pathogens of interest. Conduct in vitro experiments to study immune responses against various pathogens. Engage actively with multiple international collaborators, clinical and industry counterparts
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written and oral communication skills for reporting, documentation and scientific dissemination Ability to lead and manage multiple projects and deliver results under tight deadlines with attention
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and experience are encouraged to apply: Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders
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with multiple parties including local university researchers, and overseas researchers