Sort by
Refine Your Search
-
++), skills in data analysis, and scientific writing is essential. While all roles require a strong foundation in AI, each has specific technical requirements: The NAMUR position at Aalborg University requires
-
throughout the research process, including conceptualization and theorizing, data construction and analysis, and preparation of academic articles for international journals. You will collaborate closely with
-
Postdoc – Performance requirements for biobased construction materials used in the building envelope
assessing mold growth and potential impacts on human health. Advanced skills in moisture transport analysis, including experimental investigation and numerical simulation of building envelopes, are required
-
for large-scale immunological and proteomic studies (e.g., Olink, MSD, etc). Lead data analysis and integration of omics datasets, contributing to scientific manuscripts and grant proposals. Provide
-
the following areas: Air and surface sampling of fungi in buildings and on materials Basic statistical analysis knowledge (R or similar) and multivariate statistical methods Cross-disciplinary research
-
data storage in Iceland. Drawing on science and technology studies and, specifically, infrastructure studies (Edwards et al 2009; Star 1999), the project aims to follow moments of instability and re
-
directions. In the first, you will work with market-driven optimal dispatch of coupled electricity–cooling systems. This includes: Modelling, analysis, and optimization of flexible cooling assets and
-
. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
-
laboratories for testing: Oscillatory and capillary rheometers, Orthogonal rheometry (OSP), Dynamic mechanical analysis, micro/nano dynamic indenter, and AFM as well as a range of other instruments. What We
-
algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from