43 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at The University of Manchester
Sort by
Refine Your Search
-
surcharge) costs. This PhD project will investigate how the cell envelope of Mycobacterium tuberculosis can be chemically engineered and how these changes influence pathogen biology by combining chemistry
-
Application deadline: 31/03/2026 Research theme: Biocatalysis and Protein Engineering Centre for Sustainable Synthesis – BioProcess How to apply: https://www.mib.manchester.ac.uk/research/centres
-
Application deadline: 31/03/2026 Research theme: Biocatalysis and Protein Engineering Centre for Sustainable Synthesis – BioProcess How to apply: https://www.mib.manchester.ac.uk/research/centres
-
“monolithic” (solid‑state) HPCR concepts, fuel and structural functions are integrated within a compact core that embeds heat pipes directly. This architecture can reduce reliance on pumped primary coolant
-
infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
-
engineering and synthetic biology, accelerating innovation across sections including pharmaceuticals, agri-tech and clean manufacturing. Students will undertake interdisciplinary, co-supervised projects across
-
Research theme: Biocatalysis and Protein Engineering Centre for Sustainable Synthesis – BioProcess How to apply: www.mib.manchester.ac.uk/research/centres/coebio3 This 4-year PhD project is fully
-
a role of critical national importance: helping deliver the UK’s nuclear deterrent. We are at the forefront of science, technology and innovation, protecting the UK and NATO allies from the most
-
-world skills to apply biocatalysis, protein engineering and sustainable manufacturing in industry. We offer: PhD projects co-developed with industry and aligned with real manufacturing challenges advanced
-
-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning