353 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" 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 Exeter
- University of Warwick
- University of Birmingham;
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Sheffield
- University of East Anglia
- University of Plymouth
- University of Strathclyde
- University of Surrey
- Loughborough University;
- Northeastern University London
- University of Bristol
- Manchester Metropolitan University;
- Swansea University
- UCL
- University of Cambridge;
- University of Nottingham;
- University of Surrey;
- ;
- King's College London
- Newcastle University;
- The University of Manchester;
- University of East Anglia;
- University of Exeter;
- University of Leeds
- Abertay University
- King's College London;
- Manchester Metropolitan University
- Oxford Brookes University
- Royal College of Art
- The Open University
- The University of Edinburgh;
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Sussex
- University of Warwick;
- University of Westminster;
- Brunel University London;
- Cardiff University;
- City St George’s, University of London
- Edge Hill University
- Harper Adams University
- Lancaster University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Swansea University;
- The Open University;
- UCL;
- UWE, Bristol
- UWE, Bristol;
- Ulster University
- University College London
- University of Bristol;
- University of Essex
- University of Greenwich
- University of Hertfordshire
- University of Lincoln
- University of Oxford;
- University of Southampton
- University of Strathclyde;
- University of York;
- 59 more »
- « less
-
Field
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
(e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which
-
bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning
-
an enthusiastic PhD candidate to help enable the circular economy for plastics within the automotive industry. Working with industry co-sponsor Artifex (https://www.artifexinteriorsystems.com ) and based in
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
-
records that can systematically inform preparedness, training and future response. As a result, learning from past events is fragmented, inconsistently captured, and insufficiently embedded into emergency
-
that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD project will: Investigate the multi-stage modelling
-
Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
-
engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
-
Engineering, Mechatronics, or Robotics, with a heavy emphasis on dynamic system theory, or a closely related discipline. Strong academic background in applied intelligent control techniques, machine learning