19 phd-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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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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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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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
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. An ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working
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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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(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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nanocomposites ¿ Manufacture prototypes using the new materials and evaluate their performance ¿ Investigate science underlying the material functions and processes ¿ Work with internal and
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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