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areas: Complex Systems, City Science, Computational Social Science, Network Science, Data Science, Physics Project start date: October 2024 Supervisors (*lead): Aligned programme of study: PhD in Network
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: Complex Systems, Network Science, Data Science, Computational Social Science, Animal Behaviour, Social Networks Project start date: 1 October 2024 Supervisors (*lead): Aligned programme of study: PhD in
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and huge social/psychological/economic negative impacts on patients and the society. Many of these cases go untreated because of the limitations of the current available treatments including their low
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). Topics of interest include, but are not limited to: Social Norms Game Theory Experimental Economics Micro Economic Theory INFORMATION ABOUT THE STUDENTSHIP & ELIGIBILITY The studentship provides support of
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impact-led, intellectually stimulating, socially relevant and for public good. UEL’s research efforts are shaped by its location, East London, one of the most diverse regions in the UK undergoing rapid
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-machine cooperation within these specific social-relational contexts, and how cooperation can be enhanced by influencing people and machines. The impact of such technology will be assessed in
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degree in a relevant social science, health or social care discipline. We particularly welcome applications from those with experience of studying collaboration; financial and/or operational challenges
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Supervisor: Jonathan Breeze ([email protected] ) Applications are invited for a 4-year PhD studentship in Rydberg Cavity Quantum Electrodynamics, funded by the Royal Society and supervised by Dr
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together
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Akter([email protected]). Eligibility criteria Applicants must have at least 2:1 degree in Social Sciences, Education, or any cognate area (or an overseas qualification that can be deemed equivalent), and