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progress, challenges, and outcomes to project supervisors and group leads. You will perform quality control, processing, and statistical analysis of large-scale genetic (genotyping) and proteomic (Olink
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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We are seeking a Research Assistant to support our experiments to understand how a host protist controls the fate of endosymbiotic algae. The project involves conducting RNAi experiments over
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with tools like Power Automate, Power Pages, or Dataverse will be valuable. About You We’re looking for someone who can bring the following: Experience supporting enterprise applications, with strong
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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework
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the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is