Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
well as in quantitative analysis, preferably within either psychometrics and/or epidemiology. The candidate should have a strong and documented interest in the areas addiction research, clinical psychology
-
publications as well as in quantitative analysis, preferably within either psychometrics and/or epidemiology. The candidate should have a strong and documented interest in the areas addiction research, clinical
-
function and cellular behaviour. The project combines state-of-the-art mass spectrometry-based proteomics, quantitative PTM analysis, and mechanistic cell biology to uncover how regulatory proteome states
-
. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
-
, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
-
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
-
, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
-
on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
-
technologies to determine T cell recognition in health and disease and to develop novel cell therapy approaches. Responsibilities Key question to address: T cell recognition towards peptide-MHC complexes
-
cutting-edge solutions that enable researchers to explore complex biological systems at unprecedented resolutions while maintaining the spatial context. DanSIC is also part of CellX – The Danish Single Cell