18 statistics-postdoctoral "https:" PhD positions at Utrecht University in Netherlands
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Studies (CCSS), where you will interact with researchers working on a broad range of complex systems. Where to apply Website https://www.academictransfer.com/en/jobs/359824/phd-position-in-statistical-phy
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2 PhD positions in Statistics Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application deadline: 26 April 2026 Apply now Help shape
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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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PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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the Department of Human Geography and Spatial Planning (max. 10% of the appointment). Where to apply Website https://www.academictransfer.com/en/jobs/358070/phd-the-urban-ocean-nexus-towar… Requirements Specific
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communicate your findings through manuscripts and presentations, mentor BSc and MSc students, and contribute to teaching activities and academic outreach. Where to apply Website https://www.academictransfer.com
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conferences Publish results in international peer-reviewed journals Support and contribute to teaching activities within the department (max. 10%). Where to apply Website https://www.academictransfer.com/en
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processes into interactive exchanges that empower citizens to understand, challenge, and influence outcomes in real-world domains such as healthcare and mobility Where to apply Website https
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in the intellectual life of the research group, including seminars, reading groups, and collaborative writing processes. Where to apply Website https://www.academictransfer.com/en/jobs/359450/phd
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one of the following, and a willingness to learn the other: – Quantitative research (e.g., user studies, statistics, machine learning) – Qualitative research methods (e.g., interviews, case studies