78 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships at Newcastle University
Sort by
Refine Your Search
-
their visa and to study on this programme. How To Apply For information on how to apply, please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=flood264 Contact Details Ross.stirling
-
Agency’s EA2030 goals contributing to national resilience, environmental recovery and sustainable water management. For further information on the project, we will be hosting a ‘Prospective applicant webinar
-
models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
-
their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
-
inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
-
well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https
-
(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
-
an increase in coordination in the protection scheme. This PhD project seeks to address these challenges through comprehensive electromagnetic transient (EMT)-type computer simulations by developing
-
computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
-
-balancing under stress) and Autonomous Transportation (modeling traffic systems during cyberattacks). This includes creating an Adversarial Scenario Library to curate edge cases like data poisoning and