26 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Copenhagen in Denmark
Sort by
Refine Your Search
-
. Employment and enrolment conditions follow the agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations (AC). More information on the PhD programme: https
-
of multiple simulators and robotic systems. The modelling work demands the ability to analyse diverse types of biomedical data and to develop computational models that capture organ anatomy and behaviour
-
be tailored to the candidate. We highly encourage applications from underrepresented groups in the field to apply. This is a unique opportunity to work in a multidisciplinary data-driven environment
-
impact, organisational contribution, external funding, and leadership. Find information about each criterion: https://employment.ku.dk/faculty/criteria-for-recognising-merit Furthermore, the successful
-
development and scientific outreach. Please visit https://www.cancer.dk/danish-cancer-institute/ for more information. We wish to reflect the diversity of society and encourage all qualified candidates
-
For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https
-
21 Jan 2026 Job Information Organisation/Company University of Copenhagen Department Faculty of Health and Medical Sciences Research Field Medical sciences Researcher Profile First Stage Researcher
-
FieldAgricultural sciences » AgronomicsEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent Additional Information Website for additional job details https://employment.ku.dk/phd/?show=154408
-
optical systems with COMSOL, Lumerical, or similar. Experience with control software and data logging – preferably in python. Good communication skills and a structured approach to work. Why Us? Joining
-
. Further information For further information please contact Stefano Paseani (stefano.paesani@nbi.ku.dk) or Kim Splittorff (split@nbi.ku.dk ). The Faculty of Science at the University of Copenhagen