64 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" scholarships at Newcastle University
Sort by
Refine Your Search
-
Strategic Planning for the Integration of AI Data Centres into Energy Networks Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
-
at https://blogs.ncl.ac.uk/astrophds/ Number Of Awards 1 Start Date 1st October 2026 Award Duration 3.5 years Application Closing Date 6th March 2026 Sponsor Science and Technology Facilities Council (STFC
-
today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
-
Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Data centres are among
-
are seeking ambitious, innovative individuals to join our dynamic team. To find out more about our group and research, visit: https://www.ncl.ac.uk/engineering/research/electrical-electronic-engineering
-
PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
-
PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
-
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
-
waters. This limitation prevents effective early warning, targeted sampling and timely mitigation of pollution events. Furthermore, while real time telemetry from water companies provides valuable data
-
(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