80 finite-element-analysis Fellowship research jobs at National University of Singapore in Singapore
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support robust qualitative analysis. He/She will support the development of the FHT1 policy brief, contributing to knowledge translation and policy engagement. Other responsibilities include validating and
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the Network directors and manager (Dr Ding Ying) to deliver ADVANCE ID’s aims and objectives. Job Description • Development and review of statistical analysis plans, study protocol. • Provide input
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, thermal, and stability analysis of the power electronics systems for given applications and perform system level simulation studies • Propose and innovate solutions for operational challenges in hardware
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, histology, immunohistochemistry, immunofluorescence, RNA sequencing, proteomics, metabolomics, and related data and statistical analysis; Prepare manuscripts for publication in peer-reviewed journals
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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University of Singapore is a multi-disciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through
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established bioinformatic workflows and tools for microbiome analysis. Develop, test, and improve custom bioinformatic workflows, focusing on bacterial taxonomy, transcriptomics, and metagenomics. Analyse