112 machine-learning "https:" "https:" "https:" "https:" research jobs in United Kingdom
Sort by
Refine Your Search
-
Program
-
Employer
- University of Oxford
- AALTO UNIVERSITY
- UCL;
- University of Oxford;
- KINGS COLLEGE LONDON
- University of Cambridge;
- University of Glasgow
- University of Nottingham
- Aston University
- Nature Careers
- Plymouth University
- Queen's University Belfast
- Cardiff University
- Durham University
- Imperial College London
- King's College London
- Lancaster University
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- University of Sheffield
- Aston University;
- Bournemouth University;
- Heriot Watt University
- NORTHUMBRIA UNIVERSITY
- Northumbria University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- THE UNIVERSITY OF HONG KONG
- The University of Edinburgh;
- UNIVERSITY OF SURREY
- 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 Lincoln
- University of Liverpool
- University of Liverpool;
- University of Warwick;
- 31 more »
- « less
-
Field
-
of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
-
unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
-
of subsurface processes. You will be responsible for leading the development of the approach, which could include transferring learning from other geographic regions and data types, machine learning methods
-
therapeutic discovery and providing commercial growers sustainable methods to meet increasing global food demand. Responsibilities Apply machine learning techniques, statistical modelling, and chemometric
-
proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
-
of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible for the application and validation
-
candidate will be at the forefront of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible
-
, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
-
and Neumora ( https://neumoratx.com ), funded by the Michael J. Fox Foundation. You will perform neuronal differentiation and phenotypic testing in human induced pluripotent stem cell (iPSC)-derived
-
People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator