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stakeholders. This post is fixed term until 31 October 2027. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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characterising advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 conversion. You will work to deepen our understanding of the reaction mechanisms in plasma
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related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
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. Digital Energy leverages cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and distributed ledger technology, to enhance the planning and operation of energy systems
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, CH4 pyrolysis, ammonia synthesis, and plastic conversion. You will be involved in developing and optimising plasma chemical processes for sustainable fuel production, synthesising and characterising
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at the University of Liverpool. Your role will include building a computational model for the interaction of a plasma with a solution undergoing the sol-gel transition process. The role also includes conducting
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summarise low-level data in support of the decision-making process. You should have a PhD (or near completion) in Data Science, Computer Science, Mathematics, Bioinformatics, or a related field. The post is