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Field
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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inclusive. This PhD position has a genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies
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renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with
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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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junior researchers and PhD students. • Disseminate research findings at international conferences, workshops, and policy meetings with key partners. • Participate in the academic life of SSHSPH and
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datasets. Design and implement analytical pipelines for data preprocessing, quality control, normalisation, clustering, differential expression, trajectory inference, and pathway enrichment analyses
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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on patient care through improved diagnostic pipelines, integrative analytics, and data‑driven insight. As fitting with a Research Fellow or Senior Research Fellow, you will: Drive innovative research
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on patient care through improved diagnostic pipelines, integrative analytics, and data‑driven insight. As fitting with a Research Fellow or Senior Research Fellow, you will: Drive innovative research