302 computational-physics-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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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 fertilisers
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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, teaching and administration, which means: Collaborative and independent research in organic synthesis: Develop and pursue an original research program focused on new organic reactivity, synthetic methodology
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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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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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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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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
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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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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under