Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Materials Science
- Economics
- Biology
- Medical Sciences
- Chemistry
- Mathematics
- Arts and Literature
- Electrical Engineering
- Linguistics
- Psychology
- Physics
- Business
- Education
- Humanities
- Philosophy
- Science
- Law
- Earth Sciences
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
via traditional 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
-
to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
-
digital recruitment methods. Build and maintain relationships with key stakeholders Plan and deliver short-term projects in collaboration with colleagues across MARC Assist with the recruitment, training
-
will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
-
methods to understand hearing device user preferences in more complex settings, including leveraging virtual reality (VR) to simulate diverse acoustic environments and hearing aid algorithms. VR offers
-
distinctive environment for the support and training of Medical Research Council (MRC) funded PhD students across our partner institutions. You will work closely with the Doctoral Training Programme manager to
-
. This paves the way for the application of MPC to large-scale systems, since the computational bottleneck is removed. The basic challenge is how to coordinate the distributed decision making of agents so that
-
will join the delivery team and will be responsible for the workshop-based training delivery of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will also be responsible
-
castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
-
Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof