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The Oxford Department of International Development (ODID) is seeking to recruit a Comparative Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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science, data science, or a related discipline. You should have experience working with ecological or environmental datasets, strong quantitative and analytical skills, and familiarity with computational
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circular economy for Electrical and Electronic Equipment (CEEE) that reduces the mining of rare, expensive and critical raw materials. CEEP is supported by a consortium of over 25 partners from across
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data
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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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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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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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will be a member of the Graffiti Gazetteer research project. This project, now in its second phase, is focussed on scaling up a digital research infrastructure that serves as a data repository for
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external funding bodies and project partners), ability to independently plan and manage a research project (including a research budget), and act as a source of information and advice to other members