Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- ;
- Durham University
- Heriot Watt University
- King's College London
- University of Liverpool
- University of Oxford;
- City University London
- Lancaster University
- The University of Edinburgh;
- University of Cambridge
- University of Cambridge;
- University of Liverpool;
- 6 more »
- « less
-
Field
-
and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Writing
-
2025 Reference: 0815-25 We wish to recruit a full-time postdoctoral research associate for 3 years. You will join Lancaster Medical School (LMS) to work with Dr Jemma Kerns and collaborators to develop
-
and frameworks we work on, and opportunities for applying the methods with top-notch collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training
-
to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and identification algorithms that directly interface with physical hardware. We work closely with
-
of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
-
Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
-
information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
-
transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
-
will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
-
Christopher Yau (http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post will contribute to the development of a new simulation-based pre-training framework for building more robust