20 parallel-computing-numerical-methods Postdoctoral positions at University of Liverpool in postdoctoral
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Hours of work: Full-time Tenure: Fixed term for 1 year We are seeking to appoint two outstanding researchers to join an ambitious, multidisciplinary research programme focused on the discovery
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design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
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expert partners, LRAs will harness interdisciplinary scientific methods to advance a new digital coast paradigm, nature-based solutions, and social innovation. Key responsibilities and duties: As a
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of Psychology at the University of Liverpool. This position focuses on the computational modelling side of the project. You will work on extending an existing model of noun and verb acquisition (Brusini et al
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apparatus and diagnostic methods to explore the interaction between an optical plasma, generated by a high intensity laser pulse, and a liquid where the breakdown occurs. This will involve constructing a
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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motivated individual to join our research group to work on a collection of projects considering motivational aspects of consumer behaviours. The project will comprise behavioural methods utilising lab-based
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Hours of work: Part-time – 0.7FTE Tenure: Fixed term until October 2028 We are seeking an enthusiastic postdoctoral researcher to join our child neurodevelopment research programme at the University
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semiconductors and semiconductors for water splitting applications). We will then use these materials to fabricate highly efficient water splitting devices and develop operando XPS methods to characterise the same