46 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
-
₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
-
) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
-
be contributing to specifically the area of phosphorus dynamics in agroecosystems, with an emphasis on the impacts of phosphorus management on crop performance and environmental losses. The main focus
-
processing. You will work experimentally in the Danish bog peatland ‘Store Vildmose’ where GHG measurements are currently performed with Eddy Covariance towers as part of the Danish Research Infrastructure
-
, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
-
about the department here and about the Health faculty here . DCPT is a national centre, responsible for proton therapy of all relevant Danish cancer patients, having been in operation since January 2019
-
to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency
-
research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
-
topics. High-level experience with software environments for statistical computing, preferably ”R”. Commitment to open and reproducible research practices An inquisitive mindset and an enthusiastic