50 engineering-computation "https:" "https:" "https:" "https:" "https:" uni jobs at University of Manchester
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of solid, reliable integration is key to the success of IT projects at the University. The Role An opening has arisen for experienced senior Lead Integration Engineer to join the Integration Delivery Team in
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This 2-year post-doctoral research associate position forms part of the BBSRC Mission Hub on Preventing Plastic Pollution with Engineering Biology. The overarching research programme aims to address
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using the code on the university’s high-performance computing resource and analyzing the results to form conclusions. The successful applicant will also work closely with experimental colleagues
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interpretation of extra-terrestrial materials. You can find out more about the research group at https://sites.manchester.ac.uk/planetary-science/ . The post is funded by an STFC Consolidated Grant and a Royal
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We are looking for a Senior Research Software Engineer to join the renowned eScience Lab (esciencelab.org.uk) at the University of Manchester – a team at the forefront of open science, reproducible
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intelligence hubs across the UK. Sellafield Ltd., supply chain partners, and academia use the facility to develop the technology needed to decommission Sellafield and other sites like it. Offering the ability
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Manchester. This is an exciting opportunity to contribute to cutting-edge research and clinical trials using state-of-the-art imaging technology. The University owns and operates a Philips Achieva 3T MR
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. Our future CRM platform is built on Salesforce, and you will work closely with this technology to ensure it delivers maximum value to the University. This is an exciting opportunity to lead through
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an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with