Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- University of Copenhagen
- Aalborg University
- ;
- ; University of Copenhagen
- ; Technical University of Denmark
- ; University of Southern Denmark
- Copenhagen Business School , CBS
- European Magnetism Association EMA
- 2 more »
- « less
-
Field
-
responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
-
start on September 1st 2025 or according to mutual agreement. Further information Further questions about the project should be directed to Luca Laraia, email: luclar@kemi.dtu.dk If you are applying from
-
Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
-
. Additionally, the candidate will conduct interviews with users and producers of Korean web content for children from WEB CHILD’s key period, and collect survey data. The candidate is expected to analyse
-
. Further information Further information may be obtained from Professor Dorte Juul Jensen, doje@dtu.dk or Senior Researcher Tianbo Yu, tiyu@dtu.dk . You can read more about Department of Civil and
-
the human blood system, and the heterogeneity that exists therein. You will use a combination of systems biology and data science to gain a better understanding of cell differentiation at the protein-level
-
performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface
-
. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Construct is seeking a Postdoc to develop robust metrics and data collection methods
-
architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
-
digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course