Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
development in modern cements formulated with SCMs is therefore urgently required, to enable quality control and make them practical for use in large-scale construction. This PhD uses advanced spectroscopic
-
technologies, including: Smart Shop-Floor Connectivity 5G Factory of the Future Big Data Artificial Intelligence (AI) Automation and Robotics for advanced manufacturing systems. Candidates should have strong
-
data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
-
collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range of particle
-
the right tools including AWS and our on premise infrastructure Work on designing resilient and reliable services used by large numbers of users Use a wide-range of technologies to develop and host websites
-
year round Details Proteins bind and recognise each other using large surface areas. This recognition process is vital for a variety of biological applications. Sensing and recognizing specific proteins
-
accepted all year round Details DUNE is a large international project to design, construct and operate a multi-kilotonne scale liquid argon detector for neutrino physics, neutrino astrophysics and a search
-
in the University of Sheffield’s Centre for International Research on Care Labour and Equalities (CIRCLE). It works in close partnership with a large network of care sector partners and leading
-
system will expect to require 25-45GW of within-day energy flexibility, a large proportion of which will need to be delivered by battery EVs. This flexibility can take the form of dynamically changing
-
analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage fingerprints for damage