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The Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit is an innovative and collaborative research group studying the intersection between adolescent mental health, cognitive
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student fees through scholarships or funding schemes. Students will not be allowed to supplement fees via self funding. Application process: Please click on the 'Apply' button above to apply for a PhD in
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. Please note: while funding is available to cover this position, applicants are also welcome to apply for other scholarships during the application process. Eligibility We welcome applications from both UK
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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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) and apply online. Informal enquiries are welcomed and should be directed to: Dr Belinda Bell, bb326@cam.ac.uk If you have any queries regarding the application process please contact Sam Wyatt, slc74
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recommendations. Adopt and champion the ROCRS (Research in Oregon Communities' Review System) process, supporting its rollout and training of other researchers. Conduct qualitative, anthropological research
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workload, increase usability and generally make the vehicle a special place to be. The project will treat the experience of tranquillity as a phenomenon that can be measured and influenced. That phenomenon
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participate in a chalk talk to present their research plans. This process is designed to ensure a transparent, inclusive, and fair selection. We are seeking two early-career investigators with an outstanding