462 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" Postdoctoral positions in United Kingdom
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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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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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We are seeking a full-time Postdoctoral Research Assistant in Optimisation and Control to join Dr Jack Umenberger’s research group at the Department of Engineering Science (central Oxford). The post is funded by UKRI and is fixed-term for 35 months. The project concerns real-time balancing of...
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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
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis