Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
-
research units and industry. DTU Bioengineering has approx. 400 employees, of which 2/3 are scientific staff. The department is located at DTU Lyngby Campus. Technology for people DTU develops technology for
-
in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
-
Are you interested in catalysis, and can you contribute to the development of chemical technologies for thermoset plastic recycling? Then the Skrydstrup Group at the Interdisciplinary Nanoscience
-
publications and conference presentations, and contribution to the continued development of clinical workflows using user-operated audiometry. Expectations of qualifications Candidates must hold a PhD degree
-
impact. At DTU Chemical Engineering, you will join a dynamic research environment at CERE (Centre for Energy Resources Engineering), working at the forefront of solvent development for CO2 capture. You
-
for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for
-
simultaneous participants Developing analysis pipelines combining multimodal data streams Performing complex analyses of multimodal data Communicating findings to internal and external collaborators Publishing
-
description The Finance Group is an active research group and a central pillar at the department which actively supports the further development of the SDU Business School. The department contains research
-
-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models