255 computing-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" Postdoctoral positions in United Kingdom
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that this project will be a launchpad for additional research questions and Prof. Mosher will support the development of a future independent research program. The University of Oxford is committed to equal
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-clinical research to progress our programme targeting cell senescence towards clinical impact. The University of Dundee enjoys an international reputation for excellence that attracts top-class students and
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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LOCATION: The Middle East Studies (MES) Programme at Oxford School of Global and Area Studies (OSGA), 12 Bevington Road, OX2 6LH About the Role: The Oxford School of Global and Area Studies (OSGA
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials