Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Nature Careers
- ;
- Technical University of Denmark
- Forschungszentrum Jülich
- University of Groningen
- Curtin University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- DAAD
- University of Nottingham
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Bristol
- University of Southern Denmark
- ; Swansea University
- ; Technical University of Denmark
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- Chalmers University of Technology
- Empa
- Linköping University
- National Research Council Canada
- Queensland University of Technology
- Susquehanna International Group
- University of Adelaide
- University of Luxembourg
- University of Twente
- Vrije Universiteit Brussel
- ; Brunel University London
- ; University of Greenwich
- ; University of Reading
- ; University of Sheffield
- Aalborg University
- Abertay University
- CSIRO
- CWI
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- La Trobe University
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- MASARYK UNIVERSITY
- Monash University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Radboud University
- The University of Iowa
- University of British Columbia
- University of Cambridge
- University of Central Florida
- University of Newcastle
- University of Oslo
- University of Sheffield
- 44 more »
- « less
-
Field
-
, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
-
diverse Formal Methods for maximizing software reliability while minimizing cost. Formal Methods (FMs) are mathematical techniques used to verify the correctness of software systems. While many powerful FMs
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
Engineering Department Location: Newport, Shropshire TF10 8NB Salary: £35,166 per annum Post Type: Full Time Contract Type: Fixed Term - Until 30 September 2028 Closing Date: 23.59 hours BST
-
Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
-
responsive extracorporeal and implantable artificial organs. To achieve this, it pioneers advanced high-tech building blocks that can be produced both reliably and affordably. You will work independently, and
-
Department: Robert Vácha Research Group – Central European Institute of Technology Deadline: 31 Dec 2025 Start date: by negotiation Job type: full-time Job field: Science and research Come to
-
engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
-
ensuring accurate and efficient analysis of system behavior under various conditions. Dynamic equivalents enable faster and potentially more reliable stability assessments, which are vital for integrating
-
Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as