Sort by
Refine Your Search
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
operate in spectrum environments that are scarce, heterogeneous, and highly dynamic, which makes the traditional static and centralised spectrum management strategies inadequate for ensuring reliable, low
-
. Key findings will be tested in additional species. The student will influence developing research directions based on initial screens. The student will learn gene-editing, molecular biology
-
chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
-
membranes. These insights will inform both environmental monitoring and our understanding of PFAS toxicity at the molecular level. You will work within a multidisciplinary team led by Professor Vollmer
-
) in microbial ecology and aquatic animal health; and the Roslin Institute (Dr Tim Bean) in bivalve genomics and host-pathogen interactions. The student will gain cutting-edge skills in molecular
-
regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
-
treatment processes, and risk management? The Doctoral Researcher will receive interdisciplinary training across microbiology (culture-based and molecular, e.g., next-generation sequencing, bioinformatics
-
. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
-
hardware with wireless communication and complex analytical software. Mussel behaviour is not binary (open/closed) but highly dynamic, with subtle patterns indicating different stressors. Training machine
-
to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand