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demonstrated excellence in their past research, have several of the technical skills required to match the demands of this project, and who are keen to engage in a project that involves collaboration with
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery
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must hold a master's degree or equivalent education in master’s degree in computer science, mathematics, electrical engineering, or a closely related field. Master students can apply provided
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Department of Aeronautical and Aviation Engineering Research Fellow (Ref. 260209005) [Appointment period: seventeen months] Duties The appointee will assist the project leader in the research
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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has
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promotions process. About You Completion of a PhD in Materials Engineering, Chemical Engineering, or Electrochemistry. Proven expertise in developing functional materials for rechargeable battery technologies
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CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and
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reduce the electricity demand from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of Medicine. It