Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will contribute to interdisciplinary research spanning process engineering, power
-
GMT +2. We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After
-
for cyber-physical systems. The position is open for appointment from 15 September 2026 or soon hereafter. The duration of the position is three years. About the Project AI:X is an ambitious initiative
-
candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
-
are very welcome to contact the person listed at the bottom of the job posting, who can provide further information about the project, the research environment and the recruitment process. Further
-
PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
(MICP) technology (preferred) Knowledge of how microbes interact and affect and are affected by their physical-chemical environment (preferred) Experience in biomaterials, polymer science, and hydrogel
-
, Chemical Engineering, Physics, Chemistry. Knowledge of dairy systems and/or relevant characterisation methods will be considered an advantage. Our group and research- and what do we offer? The group is a
-
, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be equivalent with the Danish MSc degree
-
recruitment process, please contact HR South at e-mail: [email protected] . Please refer to ID number 211-2473/26-2H #2. The University of Copenhagen wishes to reflect the diversity of society and encourages
-
learning spaces can bridge the on-campus social learning moment with extended, individualised learning in other temporal and physical contexts. The project is centrally concerned with how generative AI tools