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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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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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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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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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simple) optical design and assembly, larger practical whole system design, system control and automation (lab and industrial), automating data acquisition, data processing and interpretation. It may be
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knowledge of ancient philosophy and the history of philosophy High level of written and oral communication skills Excellent command of written and spoken English (C1 Level) Knowledge of Greek and Latin IT
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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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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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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