641 parallel-and-distributed-computing-"DIFFER" Fellowship positions in United Kingdom
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assimilation, and multiple data sources to address two key research questions about water-energy interactions at biophysical scales: What are the scales of SM variability across different landscapes and their
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, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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Hadley Centre, UK and international partners. The role will focus on evaluating how different SRM strategies and deployment scenarios affect key aspects of the Earth System, such as ENSO, AMOC, sea ice
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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, while engaging with researchers from different disciplinary and country backgrounds. For more information please contact: Prof. Dina Balabanova, dina.balabanova@lshtm.ac.uk . The post is part-time 17.5
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researcher will be part of the Academic Centre for Mental Health and lead a programme of work focussed on analysing routine data and data collected by the Centre for Pesticide Suicide Prevention (CPSP
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central Cambridge for students from over 80 different countries, studying for the full range of postgraduate degrees. Founded in 1964, we were the first exclusively postgraduate College in Cambridge, and
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November 2025 to 31 March 2027. The successful applicant will carry out experimental and computational work related to this project. The post will include the following duties: To undertake research, to act
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individually, make a real difference. The role We are seeking a motivated and skilled individual to join the research team on the DAEDALUS project, an innovative proof-of-concept study exploring the use of drone