Sort by
Refine Your Search
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; Newcastle University
- ; University of Nottingham
- ; The University of Manchester
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Swansea University
- ; Aston University
- ; Brunel University London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Bradford
- ; University of Bristol
- ; University of Leeds
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- Harper Adams University
- University of Newcastle
- University of Sheffield
- 12 more »
- « less
-
Field
-
to rare disease trials. This PhD studentship is part of LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials. Students will receive training
-
suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials
-
in genomic medicine, diagnostic innovation or precision healthcare. This studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate
-
validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer
-
conditions. This will accelerate the development and qualification of more resilient materials and coatings, contributing directly to the advancement of sustainable fusion energy. The techniques developed may
-
the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
-
, for example, PM10 which is generally caused by acceleration and deceleration of road vehicles and is proportional to vehicle weight may increase due to the transition to electric cars, which are typically
-
applying ML techniques in science and engineering is to accelerate knowledge discovery. It is very much not convenient and time consuming for a user to dive into the ML ocean, searching new techniques
-
environment. Even smaller pieces pose the potential to damage and further fragment active satellites and larger space debris, endangering current satellite operations and accelerating the proliferation of space
-
vulnerable to mould growth, which accelerates structural decay, compromises indoor air quality, and poses significant health risks to building occupants. Moisture exposure to outdoor surfaces can also cause