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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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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
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, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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analytical procedures that are applied for proteome characterisation to a high degree of precision; able to analyse quantitative proteomic data with a degree of statistical rigour using common freely available
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and
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analytics, and generative AI approaches for pandemic preparedness and response. You will collaborate with international partners across Europe and beyond, analyse complex health and surveillance data
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-genome sequencing. You will possess strong analytical, problem-solving, and data interpretation skills, with the ability to work both independently and collaboratively within a multidisciplinary research
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clinical, epidemiological, and immunological data. You should have a PhD, or be close to completion, in bioinformatics, computational biology, microbial genomics or a related discipline, together