12 multiple-sequence-alignment PhD positions at Cranfield University in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
This PhD offers an exciting opportunity to tackle one of Europe’s most urgent biodiversity challenges – amphibian declines driven by interacting pressures from agriculture, climate change and habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will...
-
additive manufacturing. This project will be closely aligned with the ATI research program (I-Break: Wire-based DED Technology Maturation and Landing Gear Application) and other industrial research projects
-
are demonstrated through its extensive MSc and PhD research initiatives and its ongoing technology development programs in large-scale additive manufacturing. This project will be closely aligned with the ATI
-
environmental sustainability is paramount, this research offers students the chance to contribute to the creation of green technologies that align with global efforts to reduce carbon footprints. Addressing
-
include streamlined certification processes, improved system reliability, and reduced downtime, benefiting industries such as aviation, automotive, and medical devices. By aligning with the increasing
-
conservation. The project will engage with the UK Pollinator Monitoring Scheme (PoMS) and DEFRA’s Pollinator Advisory Group to ensure alignment with national biodiversity goals. Outcomes will enhance
-
track and classify them. This also helps to observe different angular realisations of the multipath and clutter and to measure multiple angular-dependent target Doppler contributions, decreasing
-
recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under