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. Applicants must have a Ph.D. degree in Bioinformatics/Immunology. Working knowledge of R and/or Python is compulsory. Experience in package development and data analysis for T cell-related projects is
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level of data analysis (quantitative and qualitative) advance knowledge based on the data and disseminate it through peer-review journals or other means draft proposals, reports and presentations relevant
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analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records of academic publication is
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-related disciplines with multiple years of relevant experience. They should demonstrate strong competency in qualitative and quantitative data analysis and have a good command of written and spoken English
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implementing all task of PISA duties including sampling, training, analysis, verifying the quality of the data, liaison with OECD, Government Representative, schools and staff of the whole Project Team, etc
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of artificial intelligence, bioinformatics and precision dentistry. Duties and Responsibilities Assist in the design, implementation, and analysis of research projects focused on artificial intelligence
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analysis and manuscript preparation for the projects. They are expected to work independently on project management, proposal preparation and mentoring junior research staff members. This job advertisement
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a clear advantage. Preference will be given to those with expertise in advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable
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project reports, develop project deliverables, design related qualitative and quantitative research, conduct data collection and analysis; and to perform other duties as assigned. A highly competitive
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analysis based on archaeological data would be a plus. The appointee will work on projects of the Quantitative History Cluster at the Institute. He/She will be expected to conduct research and publish papers