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relevant events. Where to apply Website https://www.academictransfer.com/en/jobs/359117/2-phd-positions-in-statistics/a… Requirements Specific Requirements Essential We are looking for someone with a
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19 Feb 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Sociology » Educational sociology Sociology » Socio-economic research Researcher Profile First Stage
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
Methodology and Statistics. A proven research interest in and experience with qualitative and/or mixed methods research Proficiency in English is mandatory (CEFR : C2 level). Dutch teaching skills
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at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduate education program. Where to apply Website https://www.academictransfer.com/en/jobs
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will lead data analysis using longitudinal cohorts from various European countries and apply advanced statistical methods (e.g., ordered probit regression, mixed generalized linear models) to assess
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literature reviews across a number of fields in behavioural and social sciences. Develop and run controlled behavioural experiments (online and/or lab-based). Apply advanced statistical methods appropriate
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PersonalRiskProfile project aims to develop advanced genetic prediction
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Bayesian statistics you present your research at scientific conferences and publish your results in scientific journals you contribute to teaching and supervising in bachelor and master programs Where
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subdomains within accounting, i.e., auditing, financial accounting, and management accounting & control. As a PhD candidate, you’ll develop research that matters. You’ll choose a topic within one of
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related