Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
(the document only exists in Danish). Application Applications should be sent electronically via the link "apply online" and the Faculty expects applicants to read the information "How to Apply" before applying
-
that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
-
synthetic biology. Further information on the Department is linked at (https://www.science.ku.dk/english/about-the-faculty/organisation/ ). Inquiries about the position can be made to Assoc. Prof. Johan
-
. The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on
-
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
-
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
-
experiments with links to any available code produced for example on GitHub Contact information for at least two persons who may be contacted for references Applications received after the deadline will not be
-
the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary . Application Applications must be submitted electronically using
-
covered by the Job Structure for Academic Staff at Universities 2025. Questions For further information about the position, please contact Associate Professor Gerhart-Hines at zpg@sund.ku.dk . For questions