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candidate will work with a three-person team of software engineers to integrated algorithms into the Epilepsy Navigation (EpiNav™) software platform for stereotactic neurosurgery planning. The successful
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Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work
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for a motivated and ambitious postdoctoral researcher with a background in adolescent mental health, experience sampling methods, digital phenotyping, or related disciplines. In your role, you will lead
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research methods (including research ethics, interviewing, and analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people
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An interest in outreach across policy and civil society and making computation methods accessible. Desirable criteria Experience with independent system dynamic modelling (e.g. not using software such as Vensim
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. About the role To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (awarded or thesis submitted) in Addiction Experience in
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
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. The candidate will be required to perform hand-on sample extraction, and bioanalysis in biological fluids (serum, breast milk, dried blood samples), including but not limited to method development and validation
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design