11 assistant-professor-and-data-visualization Postdoctoral positions at University of Copenhagen in Denmark
Sort by
Refine Your Search
-
, the Center for the Mathematics of Quantum Theory (QMATH) , and the Quantum for Life Center . For more information about the above units, please see their webpages, or contact any of professors listed
-
information about these services as well as information on entering and working in Denmark here: https://ism.ku.dk/ Contact information For further information please contact Associate Professor Christian Lyhne
-
. The postdoctoral researcher position is a full-time research position and does not involve any teaching obligations. For further information, including more details on BIZPOWER, please contact Associate Professor
-
. Professor Johan Andersen-Ranberg. The fellow’s main duties will include conducting experimental molecular biology research on eukaryotic microalgae, performing genome engineering in algae, and carrying out
-
the Head of CoInAct, Professor Søren Kyllingsbæk, sk@psy.ku.dk , for more information about the Selection in Cognition project and the position. How to apply Submit a complete application at our online
-
on how accountability could be ensured for victims of mercenarism. MERCURY focuses on this accountability void, combining (1) cutting-edge, data-driven mapping and analysis of mercenary operations with (2
-
WHENCE project here: https://inspire.ku.dk/research-activities/whence/ . For further information about the position, please contact the PI of the project, Professor Sabrina Ebbersmeyer, e-mail: ebbersmeyer
-
Migration under the leadership of PL, Associate Professor Andreas Bandak. The postdoc will work in the interdisciplinary research environment at the Centre for Comparative Culture Studies at the Department
-
on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
-
us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners