Sort by
Refine Your Search
-
behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
-
to open new therapeutic avenues for undruggable targets but is currently limited by a lack of novel warheads and screening libraries. This project will involve the the design and synthesis of new covalent
-
to electrochemically derived hydrogen to methanol production, yet with promising potential for disruptive market innovation to regenerate the energy-intensive drying steps typically required for wet biomass sources
-
the frameworks necessary to continuously verify AI safety in operational contexts, leaving systems vulnerable to unpredicted behaviors. The proposed framework provides a comprehensive solution by designing
-
external control. Autonomous agents that can perceive, reason, plan, act, and learn, together with self-configuring, self-healing, and self-optimising behaviours, provide the foundational principles
-
for all. This PhD project aims to develop, physics-informed surrogate models to support the design and optimisation of deep geothermal energy systems under subsurface uncertainty. Focusing initially
-
accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
-
, and motivated to improve workplace safety in healthcare technologies and to work across research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate
-
attention to boundary conditions and heterogeneity. The outcomes will support improved design, risk reduction and development of low-carbon geothermal resources. This project addresses sustainable resource
-
to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation. You will seek to develop an approach to reduce that time through development