661 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in United Kingdom
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Department and contributing to the mental health and neuroscience focused NIHR Support Service Hub hosted by King's College London and Partners. You will play a key role in the innovative NIHR program grant
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The role-holder will work within the Rights Lab’s Law and Policy Programme to support collaborative research projects focused on antislavery and anti-trafficking governance, focusing on both
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therapeutic discovery and providing commercial growers sustainable methods to meet increasing global food demand. Responsibilities Apply machine learning techniques, statistical modelling, and chemometric
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 1 month ago
-source packages. Your Role As a postdoctoral fellow in the Saez Rodriguez group, you will develop and apply computational methods and tools, leveraging advanced statistics and machine learning to extract
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We are looking for a researcher, whose expertise lies in statistics or biostatistics, to work with Dr. Aidan O’Keeffe on an NIHR/MRC Better Methods, Better Research funded project entitled “Flexible
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The role-holder will work dynamically within
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About the Role The University of Bath hosts the International Study Centre (ISC ) for the International Civic and Citizenship Education Study (ICCS ), a major comparative research programme
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics