Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
-
education within the department’s scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 950 students are enrolled in our study programs. Furthermore, we also offer
-
together with both Danish and international colleagues. Your main tasks will consist of: Solid state synthesis of advanced materials. Crystallization of and out of molten salts and ionic liquids. Structure
-
historical analysis. Proficiency in English at academic level is essential. Experience with archival research, public sphere studies, political communication or nationalism studies will be considered a strong
-
advantage. Previous research experience in carrying out experiments with human participants is an advantage. The candidate is expected to be fluent in spoken and written English. Some level of spoken and
-
qualification, you must hold a PhD degree (or equivalent). Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. Application procedure To apply, please
-
change (sea level rise and increased storminess in Northern Europe), coastal erosion is expected to potentially worsen. State-of-the-art practical engineering models for predicting sand and particle
-
applicant must have a high level of hand-on experience in CFD, specifically in modeling of turbulent and multiphase flows, and be able to model and analyse thermodynamic cycles. In addition, the selected
-
is important that you are able to work in a team and work for the overall goal in the project. Your profile The applicant should have demonstrated excellence and have a relevant PhD degree in chemical
-
applicant must have a high level of hand-on experience in CFD, specifically in modeling of turbulent and multiphase flows, and be able to model and analyse thermodynamic cycles. In addition, the selected