Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- University of Nottingham
- Technical University of Denmark
- Cranfield University
- DAAD
- ; University of Nottingham
- Ghent University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- ; The University of Manchester
- Lulea University of Technology
- ; Swansea University
- Chalmers University of Technology
- Nature Careers
- Queensland University of Technology
- University of Luxembourg
- University of Southern Denmark
- ; Technical University of Denmark
- Aalborg University
- RMIT University
- Radboud University
- University of Cambridge
- University of Groningen
- ; Aston University
- ; Loughborough University
- ; University of Birmingham
- ; University of Bristol
- ; University of Essex
- ; University of Southampton
- ; University of Warwick
- Curtin University
- Erasmus University Rotterdam
- Fraunhofer-Gesellschaft
- Harper Adams University
- Institut Pasteur
- La Trobe University
- Leiden University
- Linköping University
- Ludwig-Maximilians-Universität München •
- Mälardalen University
- Norwegian University of Life Sciences (NMBU)
- Ruhr-Universität Bochum •
- SciLifeLab
- University of Adelaide
- University of British Columbia
- University of Liverpool
- University of Nebraska–Lincoln
- University of Southern Queensland
- University of Twente
- Uppsala University
- VIB
- Vrije Universiteit Brussel
- 43 more »
- « less
-
Field
-
students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact
-
When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
-
improve surgical workflow, shortens surgery time, enables unrestricted movement tracking, and reduces infection risks. Eliminating markers enables robot-assisted or fully automated femoral implantation
-
PhD Project: 3D-printing next-generation electro-actuators for soft robots and devices Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive
-
the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
-
for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro
-
leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
-
chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
-
the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
-
to mitigate damage to these TBCs. Moreover, this project will leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ