Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Fraunhofer-Gesellschaft
- ; The University of Edinburgh
- Lulea University of Technology
- University of Groningen
- University of Southern Denmark
- ;
- Ghent University
- University of Nottingham
- Technical University of Munich
- ; Loughborough University
- Baylor College of Medicine
- Chalmers University of Technology
- DAAD
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- The University of Chicago
- University of British Columbia
- ; Cranfield University
- ; Swansea University
- ; The University of Manchester
- ; University of Bristol
- ; University of Leeds
- ; University of Nottingham
- ; University of Oxford
- AALTO UNIVERSITY
- Aalborg University
- Abertay University
- Duke University
- Leiden University
- Ludwig-Maximilians-Universität München •
- Monash University
- Nature Careers
- Radboud University
- Technical University of Denmark
- The Chinese University of Hong Kong
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Copenhagen
- University of Nebraska–Lincoln
- University of Oxford
- University of Twente
- University of Vienna
- Vrije Universiteit Brussel
- Yeshiva University
- 35 more »
- « less
-
Field
-
interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
-
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
-
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
-
Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need
-
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
-
to work on the XENONnT experiment in Fall 2025. About the Group: Our group, led by Dr. Jingqiang Ye, plays a key role in both the hardware development and data analysis of the XENONnT experiment. The group
-
cryogenic electronics, CMOS behavior at cryogenic temperatures (4 K and below), and quantum hardware architectures (superconducting qubits and spin qubits). Collaborate with quantum physicists to interface
-
construction against those changes. Evolving Systems: We investigate novel construction and verification techniques that adapt to offline changes in the specification, the hardware, or the implementation
-
/robotic systems Ability to implement control and kinematics with hardware-in-the–loop Background with relevant packages, (MATLAB, SolidWorks/Creo, ROS/ OpenCV/ python, LabVIEW/C languages) A driven
-
of mechanical and 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 with relevant