Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- ;
- Curtin University
- Technical University of Munich
- Technical University of Denmark
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- Cranfield University
- Ghent University
- Chalmers University of Technology
- Leibniz
- University of Luxembourg
- University of Nottingham
- Monash University
- Forschungszentrum Jülich
- University of Southern Denmark
- Queensland University of Technology
- University of Manchester
- University of Cambridge
- University of Adelaide
- Wageningen University and Research Center
- ; Swansea University
- University of Twente
- Utrecht University
- University of Antwerp
- University of British Columbia
- ; The University of Manchester
- Umeå University
- Linköping University
- SciLifeLab
- Swinburne University of Technology
- The University of Iowa
- Trinity College Dublin
- University of Tübingen
- Erasmus University Rotterdam
- Ludwig-Maximilians-Universität München •
- Radboud University
- University of Copenhagen
- University of Göttingen •
- ; University of Birmingham
- ; University of Nottingham
- Fraunhofer-Gesellschaft
- McGill University
- Susquehanna International Group
- The University of Auckland
- The University of Newcastle
- Purdue University
- VIB
- Vrije Universiteit Brussel
- ; Cranfield University
- ; University of Exeter
- ; University of Reading
- ; University of Warwick
- Aarhus University
- Lulea University of Technology
- University of Oslo
- ; The University of Edinburgh
- ; University of Southampton
- Duke University
- The University of Chicago
- University of Sheffield
- University of Southern Queensland
- ; Loughborough University
- AIT Austrian Institute of Technology
- Leiden University
- Pennsylvania State University
- University of Bergen
- University of Pittsburgh
- ; City St George’s, University of London
- ; Newcastle University
- ; University of Bristol
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Surrey
- ; University of Sussex
- CWI
- Cornell University
- Empa
- Hannover Medical School •
- Harper Adams University
- ICN2
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- University of Minnesota
- University of Potsdam •
- University of Utah
- University of Vienna
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Technical University of Denmark
- AALTO UNIVERSITY
- Georgetown University
- Humboldt-Stiftung Foundation
- MASARYK UNIVERSITY
- National Research Council Canada
- University of Bonn •
- University of Münster •
- University of Nebraska–Lincoln
- University of Oxford
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Materials Science
- Chemistry
- Mathematics
- Linguistics
- Science
- Business
- Social Sciences
- Humanities
- Environment
- Arts and Literature
- Psychology
- Earth Sciences
- Law
- Electrical Engineering
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
-
applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique
-
that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
-
sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in
-
transformative approach that integrates advanced digital and quantum twin technologies with cybersecurity. This program is a cohort-based, industry-driven, multi-disciplinary graduate training program that aims
-
Department/Location: Department of Engineering, Central Cambridge We are seeking a highly motivated Research Assistant/Associate to join EPSRC and industry funded Digital Roads (DR) Prosperity
-
. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
-
The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea...
-
of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under the combined themes of human-computer interaction and critical