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information, please see here: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency-preparedness-and-response Supervision team: Dmitri Nepogodiev (Associate
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Information Studies. We are looking for an independent, enthusiastic, and driven candidate with some understanding of digital games. Applicants should have experience in analysis of primary and secondary
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department. In addition to the base salary stated above
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systems and tools to respond using an ‘all hazards’ approach. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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applicable across emergency preparedness and response settings. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university
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challenges. Supervisor information: https://experts.exeter.ac.uk/41651-tarje-nissenmeyer https://experts.exeter.ac.uk/41625-george-datseris Ready to bridge mathematical sciences with complex ecosystems and
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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
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. More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk/study/postgraduate-research/areas/forensic-and-neurodevelopmental-science