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correlational and causal links between online polarization and a multidimensional perspective on mental health and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it
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close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven track record of method development in statistical genetic and the ability to manage your own academic
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37 Faculty of Business, Economics and Statistics Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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research project proposal prepared) Support mentoring of graduate students Engage with development partners, NGOs, and stakeholders in tropical and subtropical regions Essential Qualifications PhD in a
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial