Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Aarhus University
- Technical University of Denmark
- University of Southern Denmark
- Aalborg University
- Copenhagen Business School
- Aalborg Universitet
- Technical University Of Denmark
- University of Copenhagen
- Queen's University Belfast
- Roskilde University
- The Danish Cancer Society
- UNIVERSITY OF COPENHAGEN
- 3 more »
- « less
-
Field
-
, and present research findings at conferences and workshops. Collaborate with researchers from other institutions within the European CLUSTEC program to advance the overall project goals. As a formal
-
to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
-
to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae
-
engineering, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in
-
interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
-
of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
-
transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
-
expected to take a leading role in the research program, supported by a Villum Investigator Grant, in which femtosecond and picosecond laser pulses are used to study molecules and molecular complexes
-
transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career