567 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
initio spectroscopy of a range of lanthanide compounds. grant.hill@sheffield.ac.uk https://grant-hill.sites.sheffield.ac.uk Subject Area: theoretical chemistry, computational chemistry, lanthanide
-
. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression
-
Vision concepts, including image processing, machine learning for visual inspection, and AI, within a manufacturing environment. Your work may also involve developing novel demonstrators for Computer
-
co-culture system. Outcomes of this work will be benchmarked against the Carnegie Collection of Embryology (https://www.ehd.org/virtual-human-embryo) and the Boyd Collection (https
-
Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
: Candidates must have a first or upper second class honours degree or significant research experience. How to apply: Please complete a University Postgraduate Research Application form available here: https
-
project will develop a physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine
-
Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
-
project will involve data analysis, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally
-
Canada. Please also see our website for more information about our lab: http://www.claudiavonbastian.com Funding Notes Self funded or externally sponsored students only. Intakes are usually October and
-
Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)