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on the molecular interactions that take place at this interface. The post holder will provide research support to the group, being involved in a programme of work funded by the BBSRC to understand and disrupt
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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are coordinated and managed efficiently. We are seeking a candidate that adopts a methodical approach to working in order to achieve work deadlines, has good communication skills and an understanding of molecular
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processing. The post is offered on a full time (36.25 hours per week), fixed term contract until 31st December 2026. About the team: This position offers the opportunity to work within a dynamic research group
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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analytical and numerical skills, with a well-rounded academic background. •Demonstrated ability to develop precision mechanical devices and mechatronics •Ability to develop kinematic and/or dynamic analysis
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manipulation of Pseudomonas aeruginosa and bacterial biofilms, including molecular biology such as the construction of reporter fusions, mutagenesis and transcriptomic analysis. Extensive experience in the study
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, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by-environment screen of duckweed growth under
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-environment interactions, plant phenotyping, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by
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, plant phenotyping, molecular biology, and the microbiome. The role involves working alongside a technician in Nottingham, and partners in the USA and Germany to conduct a large-scale genotype-by