19 phd-in-image-processing Postdoctoral positions at University of Liverpool in United Kingdom
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operators, academic institutions, maritime training providers, and technology developers to address a critical skills gap in the safe handling, design, and operation of low- and zero-emission maritime
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent
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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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production using historical and future climate simulations. The candidate will be expected to be responsible for conducting model simulations, interrogating results and integrating new processes and mechanisms
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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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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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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Foundation. Initially funded for five years, it puts justice at the heart of sustainability transformations: the Centre¿s motivations are to support a just transition to net zero by transforming the processes
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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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