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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. *Please note that this is a PhD level role but candidates who have submitted their thesis and are
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to demonstrate strong proficiency in robotics, embedded systems, and real-time signal processing, with a track record of research publications in human–robot interaction, rehabilitation robotics, or related areas
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to demonstrate strong proficiency in robotics, embedded systems, and real-time signal processing, with a track record of research publications in human–robot interaction, rehabilitation robotics, or related areas
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. About the role: As Postdoctoral Research Associate, you will: Lead experimental work on the sterility, safety, and efficacy of NanoCure bandages in vitro and in vivo. Support manufacturing and process
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process due to the constant exposure of the gut to microbes, pathogens, food, and chemicals. This process involves crosstalk between multiple immune cells, and within the epithelial layer, the communication
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: Lead experimental work on the sterility, safety, and efficacy of NanoCure bandages in vitro and in vivo. Support manufacturing and process development, collaborating with the Southampton Nanofabrication
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Postdoctoral Research Associate in organofluorine chemistry ( Job Number: 25001536) Department of Chemistry Grade 7: - £38,784 - £41,064 (point 30-32) Fixed Term - Full Time Contract Duration: 36
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health and neuroscience research in Europe and the largest in the UK. From its earliest years, the IoPPN has been fundamentally changing and shaping how we understand, prevent and treat mental illness and
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health and neuroscience research in Europe and the largest in the UK. From its earliest years, the IoPPN has been fundamentally changing and shaping how we understand, prevent and treat mental illness and
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health, focusing on developmental processes. We offer a supportive and collaborative research environment at the Pears Maudsley Centre, with access to extensive neuroimaging, genomic, and clinical datasets