621 computational-physics "https:" "https:" "https:" "https:" "INRAE" PhD positions in United Kingdom
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Social Statistics Sociology Academic requirements You must meet the minimum academic requirements for your preferred programme Nationality restrictions This funding is available to all nationalities
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communicating across disciplines, to work on a project that will combine research in social and physical sciences. You will be excited by the prospect of joining a project in which you will be given signficiant
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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to a
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autonomous systems. You will have the freedom to shape the project direction, experiment with novel ideas, access state-of-the-art AI and computing facilities, receive tailored training and professional
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the opportunity to undertake a placement within Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon
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Funded PhD Studentship in applied geospatial ecology. This project will investigate how dryland vegetation productivity varies across space and time and how it responds to land management. Working with NEOM, one of the world’s largest ecological restoration programmes, the project will develop...
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the social and physical environment interact to produce inequalities in children’s mental health and educational outcomes. The project will examine the role of environmental exposures and the family social
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supervisor - Dr Haitao Lan, if you have any questions. Entry requirements: Applicants should have, or expect to achieve, a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written