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and advanced knowledge of quantitative research methods and experience of work psychology. The successful candidate is offered a unique opportunity to work on a fully funded PhD project in collaboration
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, including relevant feedback loops; Adapt, evaluate, and optimize a mental health chatbot through user-centred design (involving both qualitative and quantitative research); Test the effectiveness
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strong candidates without postgraduate qualifications will also be considered. Experience conducting experimental studies with human participants. Good quantitative research skills including statistics
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, or other types of political violence, armed conflict, or conflict processes. To align with TERGAP, the PhD candidate’s research is expected to develop a quantitative research design applying statistical
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involve qualitative and quantitative research methods. What do you have to offer? Your experience and profile: a master degree in Informatics with a strong affinity with Artificial Intelligence and Social
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English language skills. You have a keen interest in socioeconomic policy issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of
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issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R
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, health economics, sociology, or cognitive science. The ideal candidate has a quantitative background, experience with quantitative research methods and a motivation for psychometric research in the field
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University College Dublin, School of Agriculture and Food Science | Dublin Bar, Leinster | Ireland | 2 months ago
opportunity in the area of upcycled foods. This UCD funded project will focus on co-creating upcycled foods with consumers using a variety of qualitative and quantitative research methods, such as focus groups
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research and are motivated to create an impact with your research. You have an affinity with transdisciplinary research. You have demonstrable affinity and experience with quantitative research such as