Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg University
- Copenhagen Business School , CBS
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Queen's University Belfast
- Roskilde University
- 2 more »
- « less
-
Field
-
. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
-
in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
-
quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more about the research and education of the department
-
). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices
-
Job Description Are you interested in materials science and human biology? The TMAT group at DTU Health Tech is offering two postdoctoral positions within new materials and methods for micro
-
in analytical methods for protein quantification and functional property characterization. Excellent teamwork, communication, and collaboration skills in interdisciplinary research environments. We
-
international, regional, and national routes to accountability and remedy for victims and the successful candidate will join the MERCURY team in applying a ‘mixing methods’ methodological approach where we employ
-
. Over the last decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding
-
(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
-
(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses