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or biomedical sciences. They will be expected to design and conduct experiments independently, have excellent written and verbal communication skills, be highly collaborative, co-supervise students and contribute
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developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions. The successful candidate will have an engineering background and
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course per semester in a 50% employment contract you support the professor for Islamic art history in research, teaching and administration and you are prepared to take on tasks at the department you plan
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
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the Department of Materials, Design and Manufacturing Engineering at the University of Liverpool, and you will work closely with colleagues across all three institutions, playing a central role in leading
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. The successful applicant will design and synthesise new hypervalent iodine reagents. In-depth stability and reactivity studies will be carried out to understand structure-stability and structure-reactivity
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the Department of Materials, Design and Manufacturing Engineering at the University of Liverpool, and you will work closely with colleagues across all three institutions, playing a central role in leading
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. Please note that applications made on a part-time basis for this role will not be considered. Your priorities will include: Using proteomics approaches to investigate parasite biology Designing and
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research and administrative activities. You will design and conduct experiments to investigate the role of epigenetic factors in innate immune response regulation. Your work will involve disease modelling
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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