303 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Oxford;
- Durham University
- Nature Careers
- University of Liverpool
- The University of Edinburgh;
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- AALTO UNIVERSITY
- Aston University
- University of Cambridge;
- University of Liverpool;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- University of London
- University of Newcastle
- ;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Queen Mary University of London;
- University of Lincoln
- University of Nottingham
- Imperial College London
- Imperial College London;
- Newcastle University;
- University of Bath
- University of Glasgow
- University of Manchester
- University of Reading
- University of Reading;
- VIN UNIVERSITY
- Aston University;
- Cardiff University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- European Magnetism Association EMA
- Georgetown University
- King's College London;
- Liverpool School of Tropical Medicine;
- Lund University
- Plymouth University
- Royal College of Art
- Scotland's Rural College (SRUC);
- St George's, University of London;
- The University of Edinburgh
- The University of Manchester;
- University of Birmingham
- University of Cambridge
- University of Canterbury, New Zealand;
- University of Dundee;
- University of East London
- University of Glasgow;
- University of Hull;
- Xi'an Jiaotong - Liverpool University
- 46 more »
- « less
-
Field
-
folding. The ability to rapidly learn new techniques is highly desirable, and enthusiasm for working across disciplinary boundaries is essential. Full training will be provided where needed. Prior
-
Full-time: 35 hours per week Fixed-term: for 36 months The Opportunity: A postdoctoral position is available in Adele Marston’s lab in the Centre for Cell Biology, University of Edinburgh
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
-
electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
-
at the University of Edinburgh, which is a vibrant scientific community within a lively and beautiful city. The project is an exciting collaboration with colleagues in the College of Medicine & Veterinary Medicine
-
as part of a team but are also happy managing your own workload and daily organisation. You’re practical, detail-oriented, and keen to learn, with a genuine interest in brain health and translational
-
and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively