102 machine-learning-"https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oxford
- UCL;
- AALTO UNIVERSITY
- University of Oxford;
- KINGS COLLEGE LONDON
- University of Nottingham
- University of Glasgow
- Aston University
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Cambridge;
- University of Leeds
- Cardiff University
- Imperial College London
- Plymouth University
- University of Sheffield
- Bournemouth University;
- Durham University
- Lancaster University
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Northumbria University
- THE UNIVERSITY OF HONG KONG
- The University of Edinburgh;
- Ulster University;
- University College London
- University of Birmingham
- University of Bristol
- University of Bristol;
- University of Cambridge
- University of Dundee
- University of Leeds;
- University of Liverpool
- University of London
- University of Manchester
- University of Warwick;
- 26 more »
- « less
-
Field
-
experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
-
, optimisation theory, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also be expected to contribute to the formulation and submission
-
. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
-
transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
-
thriving community of researchers working in related subject areas. You will design and conduct research into human behaviour (habits, learning under uncertainty) that is of an international standard, and
-
, learning under uncertainty) that is of an international standard, and that is carried out expertly, rigorously and in accordance with ethical guidelines. You will also participate actively in the lab
-
part-time post (0.2FTE) ideal for someone working in industry or with industry experience. This is because we want to bring in expertise with data processing and machine learning pipelines, and their
-
, or a related field. Candidates must possess relevant research experience in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record
-
, Computer Science, AI, Data Analytics, or a related field. Strong programming skills in Python and familiarity with LLM frameworks. Experience with machine learning, natural language processing, or time
-
to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in