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coherence, and non-Markovianity therefore become important both for fundamental physics and for eventual practical applications. In this PhD project, we will develop the theory for quantum-optical protocols
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nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing biological
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Medicine Health and Life
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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that suppress resistance gene transfer. Combining biophysics, microbiology, and materials science, the project will generate insights into how physical environments can be harnessed to control AMR. Approach and
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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concern is the presence of marine organisms that settle and grow on submerged structures – a process known as biofouling. Biofouling will increase drag and mass loading on dSPCs but will vary with many
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set of fabrication technologies which build on the principles of 3D printing, but which can process cells and other biological materials. When used in conjunction with other biofabrication techniques
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persistence arises from the biomass type, formation process and/or the final composition and structure itself. We will quantify these features and engineer biochar with enhanced long-term carbon stability using