Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Durham University
- University of Oxford
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- University of Oxford;
- ;
- Heriot Watt University
- Imperial College London
- King's College London
- UNIVERSITY OF VIENNA
- University of Reading;
- AALTO UNIVERSITY
- City University London
- Durham University;
- John Innes Centre
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- UNIVERSITY OF READING
- University of Cambridge;
- University of Kent;
- University of Liverpool
- University of Reading
- University of Sheffield
- University of York;
- 14 more »
- « less
-
Field
-
/InstituteImperial College London, Electrical and Electronic EngineeringCountryUnited KingdomGeofield Contact City London Website http://www.imperial.ac.uk Street Exhibition Road Postal Code SW7 2AZ STATUS: EXPIRED X
-
our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is
-
-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German
-
background in rheology and Non-Newtonian flows. In addition, they will be familiar with Machine-Learning tools (such as PyTorch or TensorFlow), as well as with code development and customisation. They should
-
Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. We welcome and
-
Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and
-
. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
-
MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in
-
data-processing and analysis codes. Regular communication with other investigators within the Programme at Heriot-Watt and University of Oxford and external collaborators elsewhere, through online forms
-
to use in model construction. To select and apply appropriate techniques and methods for predictive model development and validation. To develop reproducible analyses, curate code on appropriate