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. The project is jointly supervised by Dr. Tarikere Niranjan (https://niranjangroup.weebly.com/prof-tarikere-t-niranjan.html ) and Dr. Emir Efendić (https://eefendic.com ) and examines how decision-makers in
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
department Methodology and Statistics gives you the opportunity to kickstart an academic career. Your position Research: The Future of Mixed Methods Research is Rigorous, Open, and Scaleable through Automation
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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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intrinsically excited about the prospect of creative collaborative science. You are motivated to develop expertise independently with multiple tools, including observations and models, AI and statistical methods
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for this PhD position should have completed (or be close to completing) a master’s degree in business, economics, psychology, sociology, (business) information systems, applied mathematics/statistics
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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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. Our PhD program is ranked #1 in Europe according to the BYU ranking. http://www.byuaccounting.net/rankings/phdrank/rank_phd_cnt.php?sortorder=ranking306&qurank=All You’ll work in an environment
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quantitative/statistical and bioinformatics skills. You will coordinate collaboration by managing cross-team experiments. You will write and publish your research in leading scientific journals and communicate
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23 Jan 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics » Quantum mechanics Physics » Statistical physics Researcher Profile First Stage Researcher (R1
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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