54 engineering-computation-"https:" "https:" "https:" "https:" "https:" uni jobs at University of Manchester
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to Aerospace Engineering for disciplinary or interdisciplinary programmes in the school, with opportunities to contribute to cross-University programmes. What you will get in return: Fantastic market leading
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& Electronic Engineering in the School of Engineering at the University of Manchester. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services
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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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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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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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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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the Department of Chemical Engineering in the University of Manchester and is aimed at the development of ethoxylation catalysts. The project aims to develop and test a series of new catalysts, understand
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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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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