Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
-
. Proficiency with CST Studio Suite, HFSS, and related full-wave EM simulation workflows. Competence in MATLAB or Python for numerical modelling, data analysis, and optimisation. Ability to conduct experimental
-
Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
-
practice, this means leading groups composed of a few students in different projects and includes guiding them during experiments, data analysis and in the writing of research documents. You are also
-
experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute
-
at the University. Youmayobtainfurther professional information from Associate Professor Jakob Zinck Thellufsen, +45 9356 2359, jakobzt@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on
-
can read more about career paths at DTU here . Further information Further information may be obtained from Professor Rasmus Bjørk, +45 46 77 58 95, rabj@dtu.dk You can read more about DTU Energy at
-
information on our recruitment process at: Recruitment process – University of Copenhagen (ku.dk) . As an applicant to the University of Copenhagen, you should be prepared to undergo a security screening
-
. Specifically, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations
-
to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non