65 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Newcastle University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
potential research supervisors within Newcastle University Centre for Cancer to find a project aligned with their interests as part of the application process (https://www.ncl.ac.uk/cancer/ ). Candidates with
-
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
-
simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and data interpretation. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4
-
consequence of the disease. Model results will be validated with experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause
-
systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
-
) sensor data. This will be a small system-on-chip designed to operate on the edge (i.e. close to the sensor). The project will explore whether emerging logic-based ML algorithms can be translated
-
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
-
-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next