Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Glasgow
- Nottingham Trent University
- Cranfield University
- KINGS COLLEGE LONDON
- Loughborough University
- Nature Careers
- University of Birmingham
- University of Cambridge
- University of Manchester
- Aston University
- Birmingham City University
- Cardiff University
- Heriot Watt University
- Imperial College London
- King's College London
- Lancaster University
- Ulster University
- University of Bath
- University of Bristol
- University of Leicester
- University of Newcastle
- University of West London
- Wenzhou Business College
- ; Imperial College London
- Arden University
- DURHAM UNIVERSITY
- Durham University
- Manchester Metropolitan University
- Medical Research Council
- Swansea University
- UNIVERSITY OF SOUTHAMPTON
- University of London
- University of Northampton
- University of Winchester
- University of the West of England
- 29 more »
- « less
-
Field
-
participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
-
streets of Edinburgh. These annotations will provide ground-truth information for machine learning algorithms, contributing to our research and development efforts to develop safe human-centred AI
-
Python programming and computational algorithms is highly desirable. Additionally, you will possess a deep understanding of time-series data processing and analysis, as well as experience in human
-
and GPU, as well as addressing relevant computational and algorithmic questions. Main duties: • To undertake research aimed at computational protein design by developing molecular simulation methods
-
in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies
-
in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies
-
methodologies for quality control in the laser powder bed fusion (LPBF) process. Through the analysis of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality
-
enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want to help build and maintain some of the largest
-
procedure. Your key role within the team will be to develop a robotic swabbing system, conduct user studies for efficacy evaluation, and develop automatic swabbing control algorithms. You will have experience
-
algorithms in e.g. MATLAB or PyTorch, and later collaborate with the University of Padova, Italy to deploy controllers to their prototype self-balancing electric bike. Informal enquiries should be directed