789 evolution-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" positions in Singapore
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development of our entire research team. Duke-NUS invites applications from outstanding candidates for tenure-track or tenured faculty positions in cryo-electron tomography and subtomogram averaging
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that enhances learning and cognitive wellbeing through movement and pedagogy. Responsibilities: 1. Project Design and Coordination · Lead the design and development of the PAL intervention adapted for adult
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: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1 – Project 7 Project Introduction: This study seeks primarily
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of integrating AI into therapeutic development. Key Responsibilities: Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics. Design and conduct molecular biology
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student communities and promoting holistic development through active engagement with student groups and activities. We also provide essential wellness and wellbeing support, pastoral care, and cultivate
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Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We
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impactful for learners. Work closely with clinician faculty to improve pedagogy and curriculum development. Perform curriculum review, including the development of new learning materials and other educational
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the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision
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for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training and inference processes Conduct experiments to compare with
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare