Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
decision-making; and (iii) decision-support to compare trade-offs and policy alternatives. The position is supervised by Professor Francisco Pereira, with co-supervision from colleagues in machine learning
-
digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
-
, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
-
environment. You can communicate in English and Danish. Experience with the manufacturing of parts by CNC milling is a plus. Experience with CAD design software such as NX is a plus; willingness to learn
-
systems with digital technologies from a socio-technical perspective. This includes human–machine interaction, XR-based interfaces, and engineering solutions for hybrid production systems. Candidates should
-
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
-
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
-
characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
-
processing, and machine learning techniques is considered an advantage. We are looking for a motivated, proactive, and curious PhD candidate that enjoys working across disciplines and contributing to a shared
-
applications Statistical, machine learning, or other quantitative methods Multi-criteria decision analysis and decision support methods Application-oriented research supporting sustainability transitions