19 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "WENZHOU KEAN UNIVERSITY" research jobs at University of Liverpool
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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responsible for collecting this diary data from participants and storing and processing it ready for analysis. The data will then be used in the design of the online resource to ensure that the content meets
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov
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We are looking for an outstanding and highly motivated Postdoctoral Research Scientist to join the PERMEDIC project team (https://perame.eu/), an exciting European Innovation Council (EIC) funded
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The Department of History (https://www.liverpool.ac.uk/history/) seeks to recruit a Postdoctoral Research Associate to work on 'Monastic Economies in the Carolingian Age - 'Farfa and Fulda', a
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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infrastructure; Development and implementation of electro-mechanical quality-control and testing procedures for detector validation; Development of data acquisition (DAQ) systems for silicon tracking detectors
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-scale around the Arctic, in addition to the behaviour of the region¿s marine terminating glaciers using optical, SAR, DEM and/or altimetry data. This work will help address research questions related