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We are seeking a researcher with expertise in computer vision and chemistry to work in collaboration with Unilever to design computer vision-enhanced workflows for automated sustainable consumer
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the effective operation, supporting the lab’s research projects, people, partnerships and public profile. Working closely with the Lab Director, researchers and external partners, you will coordinate
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being Health & Life Sciences and Humanities & Social Sciences. The Faculty has four schools: • School of Electrical Engineering & Electronics and Computer Science • School of Engineering • School
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apparatus and diagnostic methods to explore the interaction between an optical plasma, generated by a high intensity laser pulse, and a liquid where the breakdown occurs. This will involve constructing a
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assembly, annotation and phylogenetic or pangenomic analysis, and be confident working in Linux and high-performance computing environments using R, Python, or equivalent tools. You will also need a strong
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significant contributions to detector development. The group's activities currently include: • Design, simulation and characterisation of monolithic High Voltage CMOS pixel ASICs for operation in high-rate
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Preventative Maintenance (PPM) Programme, ensuring statutory compliance activities, servicing programmes, remedial works, and certification are delivered effectively and in line with regulatory requirements
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ULTRA programme (accredited for D1-4). As a candidate for this post, you will be an experienced educational developer or be able to demonstrate a high level of expertise in working across a range of
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, supporting a collaborative programme of research focused on antivenom development. You will work as part of a wider multidisciplinary team, including research partners across the Liverpool area, and will
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of academics, committed to the delivery of high-quality healthcare education and discipline related research activity. You will be based within the multi-professional School of Allied Health Professions and