27 linked-data-"https:"-"https:"-"https:"-"Stanford-University" PhD positions at The University of Manchester in United Kingdom
Sort by
Refine Your Search
-
may be removed before the deadline. Modern low-carbon energy systems such as photovoltaic (PV) arrays and battery energy storage systems (BESS) generate extensive measurement data (electrical, thermal
-
on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
-
learning approach to translating multi-modal inspection data into remaining useful life predictions; and (3) create a dynamic techno-economic model linking real-time condition assessments to optimal
-
performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
-
of die compaction — from individual crystal behaviour to the formation of solid pharmaceutical tablets. Spanning many orders of magnitude in scale, the work will link particle-scale interactions, such as
-
formed during late-stage deglaciation and subsequent marine transgression. These data will provide critical constraints for palaeoclimatic reconstructions and help quantify the magnitude and style
-
that link between processes, microstructures and function. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or
-
join the Catalysis and Porous Materials group at Manchester, a well-established research community with strong infrastructure, a track record of industry engagement, and active links to national
-
stable isotope probing linked to multi-omics analyses. These system-level measurements will be integrated with analysis of the metabolic potential of our experimental communities using strain-resolved
-
development, the studentship will provide exposure to the challenges and opportunities associated with translation of long-acting technologies towards clinical implementation. This studentship is closely linked