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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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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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+ intervention studies Supervise the collection and maintenance of clinical trial documentation, including data records, case report forms, and equipment maintenance logs Ensure compliance with clinical inventory
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the design principles of effective arts-based programmes into practice. We are seeking applicants with a PhD and demonstrated expertise in data collection (in laboratory and/or school settings), advanced data
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experimental data. Communicate findings clearly through technical reports, papers, and presentations. Collaborate effectively within the group and with external stakeholders. Be willing to mentor both
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an emphasis on technology, data science and the humanities. Key Responsibilities: The appointed Senior/Research Fellow will lead studies on cancer immunity translational research. The successful candidate will
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technical expertise in fish reproduction, genetics, diagnostics, health, and developmental biology. Analyse research findings and disseminate data Achieving project KPIs, guiding researchers through training
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technical expertise in fish reproduction, genetics, diagnostics, health, and developmental biology Analyse research findings and disseminate data Achieving project KPIs, guiding researchers through training
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with