13 structures "https:" "https:" "https:" "https:" "https:" "IMT Atlantique" positions at Manchester Metropolitan University
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*PLEASE NOTE: Candidates must have prior experience in construction. Applications without relevant experience will not be considered.* Manchester Metropolitan University (MMU) is seeking a Project
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subject areas into a new School structure. As we embark on this new chapter, we are seeking a dynamic and visionary Head of the School to lead a newly established and ambitious School of Biological and
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. Interviews are expected to take place either w/c 6th April or w/c 13th April 2026. Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letterdetailing how you meet the criteria
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on how to apply can be downloaded at https://candidates.perrettlaver.com/vacancies quoting reference 8306. For an informal discussion, please contact Daniel Munks at Daniel.Munks@perrettlaver.com
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Sean Maudsley-Barton, s.maudsley-barton@mmu.ac.uk . Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letter detailing how you meet the criteria for the role. Only
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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objectives: Establishing a co-culture system with rhythmic stimulation to model an aged phenotype, followed by mechanistic interrogation using comprehensive metabolomics, structural, and functional analyses
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expenditure and performance indicators Ensuring statutory compliance and robust assurance aligned to frameworks such as SFG20 and structured asset data standards Acting as Responsible or Authorised Person
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the design and construction of a landmark new building, in support of the University's Road to 2030 strategy. To drive change and achieve this transformation, we need inspired, innovative leadership across a
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temporal structure and missing data affect multimodal learning Identifying fundamental trade-offs between accuracy, efficiency, and robustness. The project emphasises foundational machine learning research