Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- University of Twente
- Rutgers University
- Nature Careers
- Heriot Watt University
- Technical University of Munich
- European Space Agency
- KINGS COLLEGE LONDON
- University of Southern Denmark
- ;
- ; University of Southern Denmark
- Aarhus University
- Argonne
- Brookhaven Lab
- Cornell University
- ETH Zurich
- King Abdullah University of Science and Technology
- King's College London
- McGill University
- Michigan Technological University
- Pennsylvania State University
- San Diego State University
- UNIVERSITY OF HELSINKI
- University of Basel
- University of Birmingham
- University of California, Los Angeles
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Oslo
- University of Utah
- Wayne State University
- Western Norway University of Applied Sciences
- 23 more »
- « less
-
Field
-
for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
-
Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 31 July 2025 (23:59 Danish time). Applications must be submitted as one
-
), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine
-
/molecular screens/assays (e.g., live-cell imaging, bioluminescence assays, digital PCRs, NGS) and the translation of gained insights into the generation of novel cell lines and vector formats (e.g., synthetic
-
for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
-
expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students