37 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Nottingham
- University of Birmingham
- University of Cambridge
- University of Sheffield
- Swansea University
- UNIVERSITY OF VIENNA
- University of Oxford;
- University of Warwick
- ;
- Abertay University
- Brunel University London
- Imperial College London
- Newcastle University
- Newcastle University;
- The Open University;
- The University of Edinburgh;
- The University of Manchester
- University of Birmingham;
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Strathclyde (UOS)
- 12 more »
- « less
-
Field
-
-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR
-
work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
-
, neuroscientists and clinicians in a highly interdisciplinary environment. You will apply computational and machine learning approaches to control theory problems, implement real-time digital signal processing
-
, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
-
hydro-climatic conditions govern vegetation behaviour, and how vegetation impairs the functioning of drainage and water-management assets. Using advanced geospatial modelling, machine learning and digital
-
Fully Funded Studentship: Investigation of PFAS Occurrence and Transformation in UK Receiving Waters
desirable but not essential. Prior experience in data analysis/visualisation, machine learning or analytical chemistry would be beneficial for the position. Applicants who have not been awarded a degree by a
-
. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
-
an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
-
Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
-
structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual