161 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" Fellowship research jobs at National University of Singapore
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sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information
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frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators. There are no teaching obligations for this position, and the
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(including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data interpretation and
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gaze tracking (including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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and proficiency in using laboratory equipment. • Ability to work independently and as part of a multi-disciplinary team. More Information Location: Kent Ridge Campus Organization: College of Design
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling