405 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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. The project will link closely with the recently funded £7.4 million HEARTH programme, the National Research Hub on Net Zero, Health and Extreme Heat. The studentship requires you to undertake the equivalent
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for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing
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(worth approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Application deadline: 4 January Person Specification (What we are looking for) We welcome
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research and strong written and oral communication skills, as we can complete existing strengths with targeted training. Funding This fully funded Connected Waters Leverhulme Doctoral programme studentship
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2026. Please make sure you detail within the application form the programme you wish to be considered for – see School information below. You must include the title of the studentship in your application
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to contact potential UK-based supervisors to discuss possible project ideas. Funding Notes The studentship provides full support for a 36-month PhD programme, including: UK tuition fees (up to £5,000 per year
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analysis, critical thinking, scientific writing Your supervisors will help you identify your training and development needs, and use dedicated time and funding within the ARIES DT programme to support your
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training