17 web-programmer-developer-"St"-"St" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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deliverables in the project together with the PI, co-I in the team ii. Prepare ITQ for the procurement of equipment as well as consumables needed in the project iii. To co-supervise Final Year project students
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that are relevant to industry demands while working on research projects in SIT. The successful candidate will contribute to an innovation-driven project aimed at developing a Next-Generation Sequencing (NGS) library
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the team ii. Prepare ITQ for the procurement of equipment as well as consumables needed in the project iii. To co-supervise Final Year project students with PI and co-PIs. Carry out Risk Assessment, and
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to ensure all project deliverables are met. Undertake these responsibilities in the project: i. DHI Mike Modelling: Utilize DHI Mike software to develop and validate numerical models for wave propagation and
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities