632 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of London
- Durham University
- University of Cambridge
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- University of Liverpool
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- University of Oxford;
- Aston University
- Imperial College London
- University of Nottingham
- University of Reading
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- ; University of Cambridge
- Royal College of Art
- University of Glasgow
- Cardiff University
- King's College London;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northumbria University;
- Queen Mary University of London;
- Swansea University
- University of Bath
- University of Leicester
- University of Lincoln
- University of Manchester
- University of Newcastle
- University of Nottingham;
- University of Sheffield
- ; Technical University of Denmark
- ; University of Copenhagen
- ; University of Exeter
- ; University of Oxford
- Aarhus University
- Aston University;
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Heriot-Watt University;
- John Innes Centre
- Liverpool John Moores University
- Liverpool School of Tropical Medicine;
- Medical Research Council
- Nottingham Trent University
- Oxford Brookes University
- Royal College of Art;
- Sheffield Hallam University
- St George's University of London
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- The University of Edinburgh;
- University of Cambridge;
- University of Dundee;
- University of Essex;
- University of Exeter
- University of Glasgow;
- University of Hull
- University of Liverpool;
- University of Reading;
- University of West London
- Xi'an Jiaotong - Liverpool University
- 59 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Chemistry
- Economics
- Materials Science
- Mathematics
- Humanities
- Arts and Literature
- Engineering
- Psychology
- Science
- Law
- Linguistics
- Social Sciences
- Earth Sciences
- Environment
- Education
- Business
- Philosophy
- Physics
- Design
- Electrical Engineering
- Sports and Recreation
- 14 more »
- « less
-
PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
-
observation-based climate datasets. In addition, we will also use innovative machine learning tools to evaluate the relationship between a set of hypothesised climatic precursor conditions, called (potential
-
also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
-
on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
-
and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU). Importantly, we adopt a flexible working environment within the lab and are happy
-
are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
-
(KCL, London, UK) but will also have the opportunity to travel and work at the Centre for AI and Machine Learning (ECU, Perth, AU) and the School of Psychiatry and Clinical Neuroscience (UWA, Perth, AU
-
intelligence; can present at national and international conferences; and prepare manuscripts as first or joint author for submission to leading journals and conferences in machine learning, cancer research and
-
groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated