Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aalborg University
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- University of Copenhagen
- ; Technical University of Denmark
- Aarhus University
- Aalborg Universitet
- Copenhagen Business School , CBS
- Max Planck Society
- Roskilde University
- Technical University of Denmark;
- The University of Manchester
- 5 more »
- « less
-
Field
-
field where your creativity and technical skills can help shape safer and smarter oceans. As a PhD candidate, you will have the unique chance to contribute to groundbreaking research that merges
-
powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
-
or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
-
to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
-
undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
-
://mgmt.au.dk/ . Place of work Aarhus BSS, Department of Management, Fuglesangs Allé 4, DK-8210 Aarhus V Formal requirements You can read more about how to apply in the application guide and find the rules and
-
develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an
-
limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
-
autonomous, energy-efficient, high-density BCIs. The PhD student will work on designing and testing all parts of this system, focusing on making it small, power-efficient, and suitable for medical or wearable
-
during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM stacks operate at approximately 160 °C, offering simplified designs and operational advantages, including improved