148 computer-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in United Kingdom
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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drawn from a variety of experimental approaches, refining research directions as appropriate. In addition to driving their own research programme, the appointee will contribute to the generation of new
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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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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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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and PalaeoGradPhan. Both projects focus on the relationship between ocean circulation and surface ocean...
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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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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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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
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social