27 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" "Dr" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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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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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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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope
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that are relevant to industry demands while working on research projects in SIT. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with