108 engineering-engineering-"https:" "https:" "https:" "https:" "https:" "Computer Vision Center" research jobs at University of Manchester
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This role provides senior technical leadership in actinide solid state science within the Actinides Centre of Excellence (ACE; https://www.awe.co.uk/2026/06/awe-and-the-university-of-manchester
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and Engineering at the University of Manchester. The project aims to produce ultra-thin polymer-based membranes and fluidic chips with polymers of intrinsic porosity (PIMs), to study molecular and ionic
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engineering buildings that fully opened in 2022. This builds on our tradition of success that stretches back over 180 years. We are at the forefront of the search for solutions to some of the world's most
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project on "On-sensor Computer Vision," carried out in collaboration with Imperial College London, University of Bristol, and industrial partners. As an equal opportunities employer we welcome applicants
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fundamental research and wants to help shape an emerging area of study from an early stage. Applicants should have, or be close to completing, a PhD (or equivalent) in fluid mechanics, physics, engineering
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grow by the inclusion of other national partners and universities. This role represents an exciting opportunity by helping to establish ACE (https://www.awe.co.uk/2026/06/awe-and-the-university-of
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range of backgrounds and experiences. You should demonstrate: Essential Criteria PhD (or near completion) in a relevant discipline, such as safety science, engineering management, risk management
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closely with Principal Investigator Prof. Tim Foster (Department of Civil Engineering and Management) and Co-Investigators Dr. Rose Pritchard (Global Development Institute). They will also work closely
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-chip, microfluidic, or tissue engineering platforms is desirable but not essential. Core skill or competency: Proficiency in aseptic technique and microbial/cell culture, with the ability to learn and
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the laboratory of Prof Piotr Dudek at the University of Manchester. The role is directly associated with the EPSRC-funded project on "On-sensor Computer Vision," carried out in collaboration with