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vulnerabilities within the cell division machinery and translate these insights into new therapeutic strategies. We are also deeply interested in the TRIM family of E3 ubiquitin ligases and how they regulate large
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, and scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older
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with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology. Key Responsibilities Collaborate with partners from both the academia and
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applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL) at the NUS Yong Loo Lin School of Medicine. More information on the laboratory is
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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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-superconductors Enhancing multidisciplinary research on complex interfaces by fostering collaboration between state-of-the-art X-ray, neutron and muon techniques Presentation of data at meetings and conferences
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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School of Public Health, National University of Singapore (NUS), invites applications for a full-time Research Assistant/Associate position to support data processing and analysis for a large-scale and
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-informed policymaking for national population health strategies. Key Responsibilities • Adapt and extend microsimulation models (e.g. DEMOS, Future Elderly Model) using local health data; • Conduct cost and
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Quantitative data analysis) (29619) Posting Start Date: 10/07/2025 Job Description: Job Description We are seeking multiple