Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
agreement. Project description and work tasks The Project is a collaboration between Assistant Professor Manuel Menke (Copenhagen University - PI), Associate Professor Karoline Andrea Ihlebæk (Olso
-
with partners from Copenhagen University hospital, Computerome and the Technical University of Denmark. The purpose of the database is to collect neurophysiological data from all hospitals in Denmark and
-
from Copenhagen University hospital, Computerome and the Technical University of Denmark. The purpose of the database is to collect neurophysiological data from all hospitals in Denmark and make
-
of an ambitious collaborative research project funded by a Lundbeck Foundation Collaborative Project Grant between 7 PIs at University of Copenhagen, University of Helsinki and Rigshospitalet in
-
of Copenhagen – University of Copenhagen (ku.dk) . Assessment criteria The quality, originality and feasibility of the proposed PhD project. Relevance of the PhD project for the host project. Research
-
grant from the by the Novo Nordisk Foundation which offers an exciting opportunity to work as a part of a larger team including researchers from Professor Simon Rasmussen´s group at Copenhagen University
-
at Copenhagen University Hospital (data generation) to study the mutational and selective processes that occur during spermatogenesis. You can contribute to the analysis of the deep sequencing data created in
-
postdoctoral researcher on our team, you will play a crucial part in our comprehensive and meticulous investigation. In collaboration with Copenhagen University, you will employ an interdisciplinary approach
-
research institutions: The Technical University of Denmark (DTU), Aalborg University (AAU), Aarhus University (AU), Copenhagen University (KU) and the Geological Survey of Denmark and Greenland (GEUS
-
at Copenhagen University, McGill in Canada and DTU Energy - relies on taking innovative steps within X-ray instrumentation, reconstruction, segmentation, sample preparation, and structural quantification