530 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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health outcomes across individual, social, family, and school contexts. The successful candidate will work with large-scale UK datasets, including the OxWell Student Survey, which provide rich information
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degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
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extremes (Aragao et al., Nat comms 2018). The Global Carbon Budget (GCB) is the most comprehensive source of data and information about regional-to-global scale carbon fluxes; it is updated annually and
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to behave in the context of such events can provide essential information for education, awareness-building and the appropriate representation of relative risk. This project seeks to understand
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, Criminology, Social Policy, Computer Science/Mathematics. An MSc degree in a relevant area is desirable though not necessary. Previous experience with quantitative and qualitative data, particularly within a
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click on the 'Apply' button above. Further information on how to apply for a CENTA studentship can be found on the CENTA website: https://centa.ac.uk/apply/ Funding notes: This project is offered through
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elaboration of biocatalysis for synthesis. A doctoral position is available for 3-years to work with Professor Florian Hollfelder at the Biochemistry Department of Cambridge University (https
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stipulations set by UKRI, we are able to recruit up to 30% of international applicants to the cohort each year. You can find further details at https://www.centre-ub.org/studentships/call-for-applicants
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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The project: Electromagnetic (EM) sensing is on the brink of a step-change. Once limited by computation and data-processing power, EM sensing is now being transformed by advances in high-performance