Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Aalborg University
- Aarhus University
- Aalborg Universitet
- University of Copenhagen
- Aarhus University (AU)
- Technical University of Denmark (DTU)
- Copenhagen Business School
- Technical University of Denmark
- Technical University of Denmark;
- TEGNOLOGY APS
- Technical University Of Denmark
- University of Southern Denmark (SDU)
- 2 more »
- « less
-
Field
-
addressing coordination and acquisition of new research projects and funding Your profile Applicants should hold a PhD in technical sciences/computer engineering or similar. The following qualifications
-
Are you interested in Data Science and Digitalization in Smart Farming and can you contribute to the development of digital farming? Then the Department of Electrical and Computer Engineering
-
Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
and robotics. As the successful candidate, you will develop innovative research programs spanning atomistic and mesoscopic materials simulations, machine learning, foundation and surrogate models
-
within AAU’s PBL project-based learning environment. Your competencies We are looking for a candidate with a PhD in Media Technology, Computer Science, Human-Computer Interaction or a related field with a
-
engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
-
should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
-
Machine and Deep Learning – Applications and Case Studies in Business AI Agents and Agentic Workflows in Business Explainable AI (XAI) E-commerce, Web and Social Media Analytics Big data analytics Natural
-
, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees
-
such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
-
within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework