Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Taiwan, Hong Kong and Macao) are not eligible for PhD positions with co-funding from the Danish SDC office. Terms of employment in the regular programme Employment as PhD fellow is full time and for
-
Job Description We are offering two fully funded PhD positions starting between Jan and Feb 2026. The project is focused on understanding what is the impact of immune checkpoint blockade (ICB
-
. The fellowship is available from September 1st 2025 or as soon as possible thereafter. The PhD fellowship has a duration of three years. Job description The PhD position is part of the project “Disabling Exclusion
-
The Department of Animal and Veterinary Sciences calls for applications for a position as a research assistant from 15 September 2025 or as soon as possible thereafter. The position as research
-
collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
-
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 “Automated machine polishing of complex mould
-
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
-
At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
-
At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend position within the general study program. The position is offered in relation to the research group Underwater Technology
-
with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models