20 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and
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team to develop advanced Nuclear Quadrupole Resonance (NQR) scanning technologies. Job Responsibilities Participate in research project with Principal Investigator (PI), Co-PI and the research team
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Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with
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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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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