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economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain
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plasma channels, and methods for controlling injection of electrons into laser-driven plasma wakefields. This work will be undertaken within the research groups led by Prof. Simon Hooker (Oxford), in
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the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is
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of molecules is motivated by their rich internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave
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biochemical reconstitution, electron cryomicroscopy (cryo-EM), advanced bacterial genetics, and phage biology to explore how cells and viruses control the three-dimensional structure of DNA. We investigate how
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Experience working with neuroimaging Experience deploying deep learning models into clinical settings Experience working within a development team & associated tools (git, svn or equivalent version control
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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control of those lines Preparation of ES cells and organoid cell lines for micro-injection to generate mouse models Extraction of mouse tissues Characterisation and quality control of genetically modified
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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profile: Completed doctoral/PhD studies in the field of Cultural and Intellectual History of Premodern South Asia (Indology) or a related discipline An excellent command of Sanskrit is essential