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Engineering, Science and Theory (NESTiD) Scientific Computing (SciComp) Vision, Imaging and Visualisation (VIViD) We are ranked 4th in the UK in the Complete University Guide 2024. For more information, please visit our
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communities, such as the human gut microbiome. This role will use a combination of microbiological, genetic and analytical techniques to isolate and engineer bacteria for use as next-generation probiotics
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This is an exciting opportunity for a skilled and motivated researcher, with an interest in working at the interface of biopolymer chemistry and process engineering. This project aims to develop
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an interdisciplinary community of neurobiologists, engineers and computational scientists. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science
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such as cancer biology, immunology, or genomics. Strong communication and collaboration skills are essential. Experience working with genetically engineered mouse models is desirable. Applicants
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Safety aspects of the work to agreed standards. Accurately record results, providing analysis and presenting findings to academic colleagues. Be able quickly to adapt and transfer skills to new technology
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to support any such activity. Please note that we are also advertising for a Research Software Engineer and there are 2 posts available in total at this level. For informal enquiries and more information about
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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model