Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- Technical University of Denmark
- Aarhus University
- Aalborg University
- University of Copenhagen
- University of Southern Denmark
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Danmarks Tekniske Universitet
- Graduate School of Arts, Aarhus University
- ;
- Aarhus Universitet
- Aarhus University;
- COPENHAGEN BUSINESS SCHOOL
- Center for Quantum Devices, Niels Bohr Institute, University of Copenhagen
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- 8 more »
- « less
-
Field
-
10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
-
research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
-
, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
-
employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
-
Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
-
technical team. Work structured and systematic and able to pass on knowledge. Effective oral and written communication skills (English). Basic computer skills and experience with data handling. We offer We
-
for AI systems Verification, validation, and benchmarking of hardware accelerators What we expect A PhD (or equivalent) in Electrical Engineering, Computer Engineering, or a closely related field A
-
Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
-
project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
-
areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in