Sort by
Refine Your Search
-
data as well as registry data, and contribute with this expertise in collaborations with other disciplines within the center. The postdoctoral fellow will assume primary responsibility for new research
-
to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
-
Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
-
from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section
-
to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position. Aalborg University has a
-
proteomics, to identify early markers of disease onset and progression. The role centers on three connected themes: using molecular data for prediction, integrating signals across molecular modalities
-
conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and analyse focus group interviews with Danish
-
colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
-
academic qualifications at PhD level. Who we are The post-doc will collaborate with the ORBIT consortium and be affiliated with the Center for Information Systems Research and the AI:Xpertise Lab
-
focus on composite materials, laminated composites, core materials and sandwich structures, with particular emphasis on applications in wind turbine blades and other lightweight structures. A central part