Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
to develop and complete a PhD thesis at a level corresponding to international research standards within the relevant field. This includes the ability to produce high-quality, peer reviewed research outputs
-
. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
-
PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
commitment to research excellence Possess the ability to work independently, take initiative, and drive research activities forward Show adaptability and a willingness to learn new concepts, techniques, and
-
applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
-
Other relevant professional activities Curious mind-set with a strong interest in enzyme structure and function An ability to learn new skills An ability to interact professionally with other scientists
-
, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
-
useful. Applicants are encouraged to submit a brief (maximum 3 pages) non-binding research proposal to illustrate their general interest in the topic and ability to formulate a research idea. The final
-
estimation methods or Kalman Filters is advantageous. Ability to work independently and take initiative in planning and executing computational research. Creative, innovative and driven by scientific curiosity
-
collaboration with a second PhD in the Sustainable Power Electronics and Electrification Research Group at the Department of Energy Technology. Cyber-Physical Energy Systems, such as electric vehicle chargers and
-
. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here