349 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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across locations. Establish a structured database for data ingestion, cleaning, labeling, and versioning. Develop AI/ML methods for state monitoring and state estimation. Validate forecasting, modeling
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, preferably within a structured organisation. Experience supporting or coordinating communication campaigns, digital outreach, or engagement initiatives involving multiple stakeholders. Exposure to alumni
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Demonstrated expertise in small-molecule synthesis, optimization, and structure–activity relationship (SAR) studies Strong problem-solving skills and the ability to work independently within a collaborative
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data collection and storage Conduct literature search, reviews and synthesis Conduct data processing and data analysis from intermediate to advanced level (e.g. structural equation modelling and latent
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on emerging structure-activity relationships, optimizing compounds so as to advance lead series for proximity inducing modalities (PIM). Solve complex synthesis problems using state-of-the-art methodology
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HR Business Partnering team is structured to offer our stakeholders close support in three clusters – namely the Schools/Colleges, Administrative and Research clusters. All HR Business Partners report
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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teaching. The incumbent will establish a structured demonstration system, build a categorized demo bank aligned with core physics topics, and work closely with faculty to integrate demos into lectures
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skills In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and
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or engineering knowledge to manage the assigned properties effectively. Good knowledge of tenancy agreement process and meticulousness in preparing documents. Creative and enjoy working around rental structures