Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aarhus University
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- University of Copenhagen
- ; Technical University of Denmark
- Technical University of Denmark;
- Aalborg University
- ;
- Roskilde University
- 2 more »
- « less
-
Field
-
The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position (3 years) on the topic of “Automation of tool wear measurement and data
-
Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a 3-year PhD position in CMOS chip design for State-Space Models accelerators targeting edge
-
Søren Stobbe. You can read more about DTU Electro at www.electro.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
-
The Centre for Alcohol and Drug Research invites applications for a Ph.D. position in the field of prescription drug use (tranquilizers and related substances) among youth (both in and outside
-
the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
-
of technology, contribute to maritime security, or lead innovations in the growing field of autonomous systems, this PhD position will equip you with the skills, knowledge, and experience to succeed. If you are
-
Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a 3-year PhD position focusing on CMOS implementation of State-Space Model-driven Spiking
-
on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
-
. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
-
scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both