Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Fraunhofer-Gesellschaft
- University of Nottingham
- Ghent University
- Lulea University of Technology
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- ; The University of Edinburgh
- ; University of Leeds
- ; University of Nottingham
- AALTO UNIVERSITY
- Carnegie Mellon University
- Chalmers University of Technology
- Monash University
- NTNU - Norwegian University of Science and Technology
- The University of Chicago
- University of British Columbia
- University of Twente
- ; Anglia Ruskin University
- ; Cranfield University
- ; Loughborough University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- Aalborg University
- Duke University
- Leiden University
- Linköping University
- Ludwig-Maximilians-Universität München •
- National Research Council Canada
- Radboud University
- Technical University of Denmark
- Technische Universität Berlin
- The Chinese University of Hong Kong
- UNIVERSITY OF VIENNA
- University of Copenhagen
- University of Nebraska–Lincoln
- University of Newcastle
- University of Oxford
- University of Southern Denmark
- University of Tübingen
- University of Vienna
- Universität Düsseldorf
- Vrije Universiteit Brussel
- Yeshiva University
- 39 more »
- « less
-
Field
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
dynamic analysis of mechanical/robotic systems Ability to use finite element modelling and to simulate complex mechatronics Ability to implement control and kinematics with hardware-in-the-loop Background
-
of the project is to optimise the hardware for the control of plasma in an atomic layer deposition chamber using various computational modelling approaches. This will require a hybrid fluid/particle model, which
-
precision Mechatronics systems and algorithms. Ability to develop kinematic and/or dynamic analysis of Mechanical/Robotic systems. Ability to implement control and kinematics with hardware-in-the–loop
-
for future researchers. Thematically, CAUSE covers all levels of digital systems, from system-of-systems over software stacks to digital hardware. PhD students in CAUSE will cooperate closely to investigate
-
leveraging real-time big datasets from distributed energy resources (DERs). · Contribute to integrate optimal solutions for operating local energy markets into Real-Time Hardware-in-Loop (RT-HIL) lab
-
methods be combined? AI Compute Paradigms: How will future AI hardware look and how will it be used? Intelligent Medical Devices: How can AI advance cybermedical systems? AI Methods for Health: How can AI
-
on solid state devices cooperate and actively work as a theorist with experimental partners improving quantum hardware design and implement optimization techniques for full-stack implementation of quantum
-
of Information Technology and Electrical Engineering. Knowledge of fundamentals of C++ programming. Competence in code optimization. Knowledge of hardware/software co-design principles, and computer architectures. Good
-
hardware and geometric features. Force protection, physical security, and threat mitigation strategies. Motorsports safety. Product development and innovation. Rail crashworthiness and safety. Run-off-road