353 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- The University of Manchester
- University of Birmingham
- Cranfield University
- Newcastle University
- University of Warwick
- University of Exeter
- University of Birmingham;
- University of Sheffield
- Imperial College London
- Loughborough University;
- University of Cambridge
- UNIVERSITY OF VIENNA
- University of Bristol
- University of East Anglia
- University of Plymouth
- University of Strathclyde
- University of Surrey
- University of Exeter;
- University of Nottingham;
- University of Surrey;
- ;
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University of Cambridge;
- King's College London
- Newcastle University;
- Swansea University
- The University of Manchester;
- University College London
- University of East Anglia;
- University of Leeds
- Abertay University
- King's College London;
- Manchester Metropolitan University
- Oxford Brookes University
- Royal College of Art
- Swansea University;
- The Open University
- The University of Edinburgh;
- UWE, Bristol;
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Sussex
- University of Warwick;
- University of Westminster;
- Aarhus University
- Brunel University London;
- Cardiff University;
- City St George’s, University of London
- Edge Hill University
- Harper Adams University
- Lancaster University
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University;
- The Open University;
- UCL;
- UWE, Bristol
- Ulster University
- University of Essex
- University of Greenwich
- University of Hertfordshire
- University of Oxford
- University of Oxford;
- University of Sheffield;
- University of Strathclyde;
- University of Westminster
- University of York;
- 62 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Humanities
- Electrical Engineering
- Psychology
- Linguistics
- Business
- Science
- Law
- Physics
- Sports and Recreation
- Earth Sciences
- Education
- Philosophy
- Social Sciences
- 12 more »
- « less
-
2022, and is the recognized leader in experience-driven lifelong learning. It has campuses across the United States and Canada (in Boston; Charlotte, North Carolina; Portland, Maine; Oakland, California
-
. However, to realise this vision AI systems need specific abilities. One of these abilities is troubleshooting: experiments often go wrong and researchers constantly need to deal with and learn from
-
committed to decolonising and diversifying Higher Education and fostering a supportive, inclusive, and equitable learning environment. Overseas applicants are welcome; however, the fee waiver covers only
-
-media work (film/adaptation, creative writing, literature across media). Learn more about supervisors here . Music and Media: Musicology (both classical and popular music) and music history; composition
-
close collaboration between the named academics at Leeds and York, with the student able to commute as appropriate. They will learn practical aspects of sustainable chemistry at each institution
-
student will learn in vivo techniques including animal handling, as well as isolation of samples from humans. The student will receive training in cellular biology methodologies including tissue culture
-
jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning
-
related area. Though previous experience in the following is not essential (all the techniques required for this project can be learned), this project would be well-suited to candidates who: Are experienced
-
systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
-
reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric