11 computer-"https:" "https:" "https:" Postdoctoral positions at University of Copenhagen
Sort by
Refine Your Search
-
the Department of Geosciences and Natural Resource Management and the Department of Computer Sciences at the University of Copenhagen, DHI A/S, and GEUS (The Geological Survey of Denmark and
-
The department of computer science (DIKU) invites applicants for a 24 month postdoctoral fellowship in stochastic models of morphology evolution. The postdoc will perform research in relation to the
-
a civic-minded researcher with human-computer interaction skills to join the group. A well-documented problem with the current AI systems is the lack of factuality, but little is done to consider
-
and Robust Automatic Fact Checking (ExplainYourself)’, as well the Pioneer Centre for AI. Who are we looking for? Applicants should hold a PhD degree or equivalent in Computer Science or a related
-
Education and the Department of Computer Science. It is not a requirement to be able to teach in Danish. UCPH has an International Staff Mobility office that assists international scholars with their
-
and industry partners in Denmark and abroad Qualifications We are looking for a candidate who has: A PhD in computer science, bioinformatics, food science, or a related field Documented experience
-
Department of Computer Science (DIKU) invites applicants for a postdoctoral position in Computer Science. The position is part of the project Differentiable Realism from AI and Modeling (DREAM
-
particular with generation of quantum states of light and atoms, magnetic field generation and measurement, radiofrequency electronics, computer control and modelling. Relevant publications Relevant
-
The Inference & Retrieval Lab within the Department of Computer Science (DIKU) at the University of Copenhagen invites applications for a fully funded PhD Fellowship commencing in January
-
broadly data science to students of other sciences is not limited to introducing them to standard techniques including those furnished by computer software. To be efficient, students must learn how