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(Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU, IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis
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of experimental research required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop
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data analysis for the main experimental studies, which includes the design and validation of novel cognitive tasks for infants. Data collected will include the simultaneous collection from parent and
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solutions. Proposal development & grant writing Job Requirements: Core Competencies Core Expertise Power System Analysis and modelling Renewable Energy Integration & Distributed Energy Resources Control
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of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required
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, metabolomics, and immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis
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food safety/nutrition analysis for urban farming. The Research Fellow will take on a significant role in the following. Key Responsibilities: Oversees project progression Progress update to project PI
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, and laboratory/field experiments Cost-benefit analysis, General equilibrium model, Advanced econometrics Machine learning techniques including text analysis, and related subjects Well-versed in
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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factors, and data provenance. o Develop data pipelines integrating BIM/IFC, schedules (4D), IoT/telemetry, procurement/ERP, and emissions factor databases. • Analytics and optimization o Apply data