Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Manchester
- Plymouth University
- University of Sheffield
- The University of Manchester;
- UNIVERSITY OF VIENNA
- Durham University
- University of Glasgow
- AALTO UNIVERSITY
- University of Nottingham
- University of Oxford
- University of Bath
- Aston University
- Heriot Watt University
- King's College London
- Lancaster University
- University of Birmingham
- ;
- University of Cambridge;
- University of West London
- CRUK Manchester Institute
- Earlham Institute
- Queen's University Belfast
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UCL;
- University of Bristol
- University of Cambridge
- University of Leeds
- University of Newcastle
- Brunel University
- Imperial College London
- Newcastle University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Essex;
- University of Glasgow;
- University of Oxford;
- University of Worcester
- Anglia Ruskin University
- Bangor University
- Cardiff University
- Cardiff University;
- Cranfield University
- DURHAM UNIVERSITY
- De Montfort University;
- Falmouth University
- Falmouth University;
- Francis Crick Institute
- LIVERPOOL JOHN MOORES UNIVERSITY
- Lancaster University;
- Leeds Beckett University;
- Newcastle University
- Nottingham Trent University
- Nottingham Trent University;
- Nuffield College
- Oxford Brookes University
- Queen Mary University of London
- RMIT UNIVERSITY
- Springer Nature Ltd
- Swansea University
- UCL EE
- UNIVERSITY OF STRATHCLYDE
- UNIVERSITY OF SURREY
- University of Exeter
- University of Lincoln
- University of London
- University of Nottingham;
- University of Warwick
- 56 more »
- « less
-
Field
-
Strong skills in simulation methodologies Excellent communication and interpersonal skills Desirable Criteria: Familiarity with machine learning algorithms and artificial intelligence as applied
-
, energy-efficient machine learning for small and low-power devices. The Network supports collaboration, training, events and real-world impact across health, sustainability and security, while contributing
-
clinical microbiology, public health, genetic sequencing, statistics, machine learning, bioinformatics and software engineering, with a supportive culture in which knowledge is shared. We aim to make rapid
-
environment, working with an academic project team on robotics, machine learning and cyber-security. The project is supported by the University's research and innovation infrastructure and has a clear focus on
-
deadlines. Experience Essential: E1. Research experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2. Experience in machine learning
-
hedonic and causal machine learning models, to estimate the impact of renewables on house values. We will work closely with a range of stakeholder groups to tailor outputs in ways which maximise their value
-
hedonic and causal machine learning models, to estimate the impact of renewables on house values. We will work closely with a range of stakeholder groups to tailor outputs in ways which maximise their value
-
AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
-
advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
-
://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's research is focused on the current