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. Assist PI to facilitate research team development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction
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Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing and CRISPR-Cas, to read, write, and decipher genomes and
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. · Minimum 3 years’ postdoctoral research experience, as well as a demonstrated capability to achieve research excellence and develop research programmes and funding proposals, through in-depth knowledge
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2025. Duties • Fellows will develop and implement a coherent specimen-based research programme that will advance knowledge and understanding one or more groups of tropical Southeast Asian terrestrial
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine
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, develop novel methodologies and systems, and ensure rigorous validation and dissemination of results. Secure external research funding and manage sponsored projects in collaboration with faculty and
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. He/she will develop
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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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Innovation & Technology (iHealthtech) National University of Singapore (NUS) Advancing health through innovation, iHealthtech seeks to address clinical needs through the development of innovative disruptive