368 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- University of Birmingham
- Newcastle University
- University of Warwick
- University of Cambridge
- University of Sheffield
- Imperial College London
- Loughborough University;
- University of Birmingham;
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Bristol
- University of Cambridge;
- University of Strathclyde
- University of Surrey
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Swansea University
- The University of Manchester;
- University of East Anglia
- University of Leeds
- ;
- King's College London
- Newcastle University;
- Northeastern University London
- Oxford Brookes University
- Swansea University;
- The Open University
- UCL
- University of East Anglia;
- University of Exeter;
- University of Oxford
- University of Surrey;
- University of Westminster;
- AALTO UNIVERSITY
- Imperial College London;
- Lancaster University
- Oxford Brookes University;
- Queen's University Belfast
- Royal College of Art
- UWE, Bristol;
- Ulster University
- University College London
- University of Bradford;
- University of Essex
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Nottingham;
- University of Strathclyde;
- University of Sussex
- Abertay University
- Brunel University
- Brunel University London
- Brunel University London;
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- King's College London;
- London School of Economics and Political Science;
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL;
- UWE, Bristol
- University of Bath;
- University of Greenwich
- University of Hertfordshire
- University of Oxford;
- University of Plymouth
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Warwick;
- University of Westminster
- University of York;
- jobs.ac.uk
- 74 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Arts and Literature
- Mathematics
- Linguistics
- Electrical Engineering
- Psychology
- Science
- Business
- Education
- Humanities
- Law
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Philosophy
- Physics
- 12 more »
- « less
-
considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
-
an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
-
using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
-
physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
-
applications require precision machining to achieve their final geometries. If machining conditions are not kept within specification, then damage to the material can occur, which can be detrimental to fatigue
-
for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
-
they can reliably, affordably, and fairly support a net-zero energy system. The research will focus on how data-driven and machine-learning-based control can coordinate demand, storage, and local generation
-
on basic laparoscopic surgery tasks, using data collected under varying network conditions and applying machine learning and time-series modelling to predict delay. The models will be integrated into a real
-
science and applications. This project aims to develop the required formalism using modern probabilistic and machine-learning approaches, reformulating the problem in terms of conditional probabilities
-
into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI