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diseases, immune-modifying treatments and dementia risk using linked electronic health records. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale health
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analysis as part of their learning journey. You will also be an excellent communicator and versatile teacher, able to adapt your teaching methods to fit the diverse backgrounds of our students, in
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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. You will oversee the School-wide AI ecosystem, inclusive of driving the adoption of generative AI, as well as predictive AI (e.g using techniques such as statistical analysis and machine learning
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planning processes and best practices. Familiarity with stakeholder management and communication strategies. Knowledge of performance metrics and data analysis techniques. Awareness of event management
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. The RA will also help in data analysis, producing research output and interpreting the results, as well as activities related to dissemination of the results. This is a project funded by the IZA/FCDO
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, and in its analysis and interpretation. The Research Information Manager is LSHTM’s REF Technical Lead. You should hold a recognised postgraduate degree in a relevant field or equivalent experience. You
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proactive approach to campaign analysis and optimisation. You should be educated to degree level or equivalent experience and/or recognised marketing qualification. If you enjoy working as part of a small
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analysis, with proficient skills in Research Financial Administration including costing and pricing. About the JRMO The Joint Research Management Office (JRMO) supports researchers across Queen Mary
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changes on an organisation. A proficient and skilled leader, with excellent communication skills, you will directly manage a small team of staff focused on policy, analysis, risk and insight