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professional development. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading
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-of-the-art methods and infrastructure Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a
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of postdivorce family diversity and gender. Your job The project utilizes (i) panel data ‘New Families in the Netherlands’, (ii) administrative data, and (iii) newly collected qualitative data. The project will
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development. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research
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deadline: 23 October 2025 Apply now Are you excited about causal inference, real-world data, and methodological innovation? Join us to explore how the integration of the estimand framework and target trial
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. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University external link . About us A better future
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you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition
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using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a
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23 Sep 2025 Job Information Organisation/Company Utrecht University Research Field Environmental science » Ecology Environmental science » Natural resources management Researcher Profile Recognised
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at the pressure, temperature and composition conditions (P-T-X) directly explored by their experiments (e.g., Icenhower & London, 1995, AmMin). The proposed project will compile existing element partitioning data