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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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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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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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well as statistical inferences on model outputs, for pre specified research hypotheses. Suggesting further appropriate methods and analyses. Writing manuscripts in to disseminate research findings. Present summaries
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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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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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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience
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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
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and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience in managing research projects within healthcare or educational settings, including
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and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience in managing research projects within healthcare or educational settings, including