Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
-
diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
-
, which aims to revolutionize solvent-based capture by developing an AI tool to screen over 1 billion solvent formulations. Top candidates will be selected based on performance criteria such as absorption
-
to succeed in performing experiments in the laboratory. Ambition to disseminate the results of your research by participation to conferences and publishing in research journals. Strong analytical and
-
position is available from 1 February 2026. The research project King Frederik Center for Public Leadership aims to provide better knowledge about how leadership can improve motivation and performance in
-
student in this project, you will: Collaborate with leading experts across Denmark and Europe in a high-impact, interdisciplinary setting Gain hands-on experience with protein characterization, advanced
-
and research cover separation processes, reaction engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied
-
for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
-
in engineering. Candidates with the following knowledge and skills will be given priority consideration: Thermal energy storage or techno-economic analysis Heat transfer and heating/cooling systems
-
programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient