Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- University of London
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Durham University
- Heriot Watt University
- King's College London
- Manchester Metropolitan University
- University of Cambridge
- University of Liverpool
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- University of Sheffield
- ; Royal Holloway, University of London
- ; University of Cambridge
- Aston University
- Birmingham City University
- DURHAM UNIVERSITY
- King's College London;
- Nature Careers
- Oxford Brookes University
- Royal College of Art
- Royal College of Art;
- Swansea University
- University of Bath
- University of Birmingham
- University of Essex;
- University of Hull
- University of Liverpool;
- University of Southern Denmark
- 23 more »
- « less
-
Field
-
developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain
-
funding, open access publication funding, co-authoring opportunities, graduate supervision opportunities, training courses, access to academic networks in Helsinki, Oxford, and beyond. In particular
-
multidisciplinary and multicultural team. Proven ability of working with projects partners to reach their objectives timely. Excellent networking ability and organizational skills. Proven and distinct work
-
industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is