99 data-"https:"-"https:"-"https:"-"https:" Fellowship positions at National University of Singapore
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• Applicants should have a PhD degree in civil or mechanical engineering or related disciplines • Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and
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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 using computational
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activities and/or the management and analysis of complex research data. These positions offer the opportunity to work in a collaborative academic research environment at the intersection of public health
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Job Description Job Alerts Link Apply now Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean
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are not limited to: • Data collection and management • Data analysis using software such as R, Stata or SAS. • Preparation of reports, presentations, manuscripts. • Writing grant proposals • Provide
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including
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. The Research Fellow will play a key role in driving computational and data-driven biomedical research, contributing to experimental design, integrative data analysis, and biological interpretation. The position