22 phd-computer-artificial-machine-human Postdoctoral positions at University of Liverpool
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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical
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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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between Departments is important to the role which will be based in the Materials Innovation Factory. The post will involve leading an iterative programme of applied polymer chemistry and materials science
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continue to be underrepresented and who face barriers to inclusion in higher education. We believe that a diverse and supportive environment, bringing different perspectives to our work and allowing people
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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the evolutionary, physiological and clinical consequences and drivers of this paradoxical behaviour You should have a PhD in a relevant discipline and an eagerness and ability to undertake interdisciplinary
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. You will also contribute to publications and grant applications. Training will be provided as needed. You should have a PhD degree in a biomedical science-related subject and significant experience in
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied