83 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at University of Oxford
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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areas include: • Investigate innovative financing models for circular bioeconomy businesses and value chains, such as food, fashion, and health. • Explore non-market mechanisms
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Postdoctoral Researcher Data Scientist. You will play an important role in the contribution of statistical analysis and new models of analysis of complex data sets. You will be responsible for providing analysis
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of spray droplets by the action of wind over ocean waves (i.e. spume). In this role, you will develop numerical, experimental, and (ideally) theoretical models within the topic of surfactant-laden droplet
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
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). You will have relevant experience working in an immunology laboratory, ideally with hands-on experience with animal models and will be able to demonstrate the ability to manage your own research and
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of focused ultrasound, animal models of pancreatic cancer, mouse surgery and immunological laboratory techniques. About You We are looking for an enthusiastic and motivated laboratory scientist who
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preparedness modelling and consideration of ethical and privacy aspects. This is a full time (part-time considered), fixed term post for 3 years. The closing date for applications is noon on 16 May 2025. You
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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mechanisms for grid-edge device federations participating in local and national flexibility markets. This will bring together research on power systems modelling, multi-agent control, machine learning and