338 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- University of Bristol
- University of Glasgow
- University of Manchester
- University of Nottingham
- KINGS COLLEGE LONDON
- Plymouth University
- University of Oxford
- Ulster University
- UCL;
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- Heriot Watt University
- ;
- University of Cambridge;
- University of Oxford;
- King's College London
- UNIVERSITY OF SURREY
- University of Bath
- University of Cambridge
- University of Worcester
- Cardiff University
- Nature Careers
- University of Birmingham
- Durham University
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- Aston University
- HONG KONG METROPOLITAN UNIVERSITY (HKMU)
- Imperial College London
- Lancaster University
- Queen's University Belfast
- Swansea University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- University College London
- University of Bristol;
- University of London
- University of West London
- AMERICAN UNIVERSITY OF THE MIDDLE EAST
- Abertay University
- Arts University Plymouth;
- BIRMINGHAM CITY UNIVERSITY
- Bangor University
- Brunel University
- Brunel University London
- Brunel University London;
- Coretech Sciences
- Cranfield University
- DURHAM UNIVERSITY
- HONG KONG BAPTIST UNIVERSITY
- Imperial College London;
- King's College London;
- Loughborough University
- Newcastle University
- Newcastle University;
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Francis Crick Institute;
- The University of Manchester
- UCL
- UNIVERSITY COLLEGE BIRMINGHAM
- University of Aberdeen
- University of Aberdeen;
- University of Birmingham;
- University of Chester;
- University of Exeter;
- University of Plymouth;
- University of Strathclyde (UOS)
- University of Surrey
- University of Warwick
- University of Warwick;
- University of West London;
- University of the West Indies;
- York St John University
- 66 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
-
development and capacity-building initiatives. You hold a PhD in immersive technologies or related fields (e.g., VR/AR/MR/XR, HCI, AI for XR, computer graphics). You have proven ability to teach at a high
-
. This PhD project will build directly on this work by using ideas from machine learning—originally developed to study the movement of larger organisms—to understand how bacteria process information in
-
good understanding of the needs of international students, and ideally have awareness of teaching and learning within a UK university context. You should have significant English Language Teaching (ELT
-
such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
-
; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
-
A University of Manchester The University of Manchester enjoys a global reputation for its research and its innovative approach to learning and is one of the largest single-site universities in
-
such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
-
with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Are you
-
-volatile memory that is seen as a potential candidate for the replacement of Flash and SDRAM memory. However, it is their ability to emulate the memory and learning properties of biological synapses and