234 web-programmer-developer-"https:"-"https:"-"https:" Fellowship positions in Singapore
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, stability). Engineer antibodies for enhanced function (Fc modifications, bispecific formats, humanization). Evaluate therapeutic efficacy in cell-based assays and murine tumor models. Develop the workflow
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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manuscripts. Contribute substantially to grant development, particularly NMRC and other national or international funding schemes, through study design, analytics planning, and generation of compelling
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, conference papers, books, and creative research artefacts where applicable. • Contribute to the strategic development of games research directions and priorities at ACRC. Grant Development and Funding
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engineering, composite science, environmental science, and so on. Key job purpose is to develop green and scalable pre-treatment process for polymer before mechanical or chemical upcycling, particularly
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frontiers of organ-on-a-chip and AI-driven translational biology. This project focuses on the development of modular micro-bioreactor platforms capable of supporting long-term culture, physiological
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clinical needs through the development of innovative disruptive health technologies and bring them from the bench to the bedside, thus benefitting patients and society. We are seeking a Research Fellow with
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) Community-Based Participatory Research • Design and facilitate workshops with residents, practitioners, and agencies to co-develop frameworks on how hub design and programming build community capacity
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation