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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
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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the effective delivery of high-quality programmes and client experience. Prepare and maintain accurate course administration records. Monitor client satisfaction through feedback, surveys, and check-ins
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the effective delivery of high-quality programmes and client experience. Prepare and maintain accurate course administration records. Monitor client satisfaction through feedback, surveys, and check-ins
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Management, or Quantity Surveying from a recognised University with at least 8 years of relevant working experience, preferably in public agencies, developer organisations or consultant quantity surveying
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that are relevant to industry demands while working on research projects in SIT. The SIT x NVIDIA AI Centre (SNAIC) is seeking a capable and hands-on Research Engineer to lead software development across a range of
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administrative support to the Cluster and Division in the areas listed below. Key Responsibilities Plan and manage the operations of programme and modules. Plan, manage and monitor programme operational budget
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the areas listed below. Key Responsibilities Plan and manage the operations of both new and existing degree programmes Coordinate class timetables and schedules; support the booking of facilities as required
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to examine the effects of the IMR Self-Management Programme for individuals experiencing major depressive disorders in Singapore. Key Responsibilities: Participate in and manage the research project with
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team to develop an application that automatically classifies walking performance of people with Parkinson’s disease, with potential to identify improvements and deteriorations in walking performance