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About the role We are seeking a Postdoctoral Research Assistant to join the Control Engineering group at the Department of Engineering Science (central Oxford). The position is funded by EPSRC and
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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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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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porewaters from our Demonstrator field sites (treated and control plots/catchments), and synthetic solutions with ionic compositions constructed to mimic the envelope of chemistries of UK groundwaters and UK
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follow up and recruitment of the children, at age 1 to 4 years, scheduling and conducting screening and study assessments, performing ultrasound imaging, and managing data entry and quality control. As the
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include electronically controlled pharmaceutical release into bioelectronic systems. You will be responsible for microfabrication of bioelectronic technologies, development of materials for bioelectronic
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interpretability, explainability, and verification methods with an emphasis on white box methods and control techniques using causality. The post holder will work on projects that bridge technical AI capabilities
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, meetings, or research dissemination events; have experience of conducting empirical research, especially in sensitive research areas and with vulnerable participants; command excellent communication skills
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demonstrable experience, ability and practical success in end-to-end analysis of bulk, single-cell and/or spatial transcriptomic or proteomic datasets, including raw sequencing data processing, quality control
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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