Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
-
career paths at DTU here . Further information Further information may be obtained from Associate Professor, Christian Solem on chso@food.dtu.dk You can read more about the DTU National Food Institute
-
information Further information may be obtained from Associate Professor Yang Hu (yanhu@dtu.dk ) You can read more about the department DTU Energy at www.energy.dtu.dk . If you are applying from abroad, you may
-
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
-
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
-
. 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
-
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
-
. 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
-
to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
-
paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we