Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- University of Oxford;
- University of London
- University of Liverpool
- DURHAM UNIVERSITY
- Durham University
- King's College London
- UNIVERSITY OF VIENNA
- University of Cambridge;
- KINGS COLLEGE LONDON
- Nature Careers
- Queen Mary University of London;
- Durham University;
- John Innes Centre, Norwich;
- The University of Edinburgh;
- University of Birmingham
- University of Bristol
- ;
- Aarhus University
- Imperial College London
- King's College London;
- Lund University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Rashid Ganiev
- SOAS University of London;
- University for the Creative Arts
- University of Bath
- University of Dundee;
- University of Gloucestershire;
- University of Greenwich
- University of Leicester
- University of Liverpool;
- University of Nottingham
- University of York;
- 25 more »
- « less
-
Field
-
the form of papers, posters or oral presentations Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow Downloading a copy of our Job Description Full details
-
device technology. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the European Innovation Accelerator, part of Horizon Europe, programme CoolbrAIn
-
industrial partners spanning the semiconductor supply chain. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the ESA programme S2CANT, the EPSRC
-
geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
-
‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
-
fertiliser equity and realising NH3's potential as a zero-carbon fuel. The broader Fellowship programme focuses on the development and application of operando vibrational spectroscopy and optical/electron
-
interview study. There is a strong expectation that the role holder will make significant contributions to the programming of experimental tasks and lead the technical set-up of the paradigms. Supported by
-
Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
-
or equivalent. 2. Demonstrable experience in either atomistic molecular dynamics simulations or quantum chemistry/density functional theory calculations 3. Demonstrable programming skills 4. Strong
-
interview study. There is a strong expectation that the role holder will make significant contributions to the programming of experimental tasks and lead the technical set-up of the paradigms. Supported by