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studies. They will develop and implement new computational and bioinformatic methodologies, including reproducible analytical workflows, statistical and predictive approaches, to investigate immune
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platform that combines Building Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium
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methods with HLA population coverage, parasite variation, conservation, expression, and other evidence layers while calibrating predictions with experimental data and quantifying model uncertainty and
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studies. They will develop and implement new computational and bioinformatic methodologies, including reproducible analytical workflows, statistical and predictive approaches, to investigate immune
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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, including their social, cultural, environmental, and institutional contexts. Candidates should have a PhD or comparable research experience in practice, as well as strong analytical and synthesis skills
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complex information clearly and concisely, and to produce high-quality written scientific materials. The ideal candidate will also possess robust critical thinking and analytical problem-solving skills
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and data management, contribute to manuscript-level reporting and writing, and support the training of junior team members. You will be working in a growing department within the Medical Sciences
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relativity, in particular the rigorous analytical study of cosmological big bang singularities and relationship to asymptotic notions of initial data. Start date: 01 February 2027 Fixed-term: The funds
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epidemic preparedness in Sub-Saharan Africa by strengthening epidemiology and data science capacity. CCM supports training in infectious diseases and bioinformatics. Together, these programmes enhance