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                Field
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                of key components of flue gases. Investigate the conversion of formic acid (CO) and conversion into hydrogen using simulation tools such as ANSYS FLUENT and CHEMKIN, delivering numerical information over 
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                for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty 
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                - Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute 
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                to advance artificial intelligence (AI) methods that improve the reliability of clinical prediction models when faced with data drift, bias, and fairness challenges. The research will involve developing deep 
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                lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and 
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                programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising 
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                you ongoing opportunities to deepen your skills. Choose from an extensive range of courses free of charge. Benefits: The University of Vienna also offers you numerous benefits, such as a company pension 
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                draws together multiple methods and will be guided by a community coproduction to investigate the role of creative engagement with poetry in supporting poetry literacy and wellbeing for young people. A 
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                Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of 
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                , with a focus on child and adolescent mental health. The successful candidate will primarily lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate