Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Department of Mechanical and Production Engineering invites applications for a Postdoctoral Researcher position in Circular Design and Business Development. The position is a fixed-term, full
-
Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
-
. Many of our research and development activities are based on companies' specific innovation needs or specialist application areas. Close collaboration with the public sector and private businesses
-
its strategic efforts within innovation and entrepreneurship, with the aim of bringing more research into play as concrete societal solutions, spin-outs, and collaborations with established companies
-
. The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research
-
Professor Jesper W. Schneider. The position will involve a combination of quantitative and qualitative research tasks, including bibliometric analysis, social network analysis, survey design and analysis
-
Securing externally funded research projects, including EU research and innovation programmes and other national and international funding sources Bridging science and advice to agencies in Greenland and
-
Denmark. More information about the research group is available here: https://chem.au.dk/AmorphousMatLab What you will do The postdoc will co-lead beamtime proposals and campaigns, and will work with
-
expected to have good time management and project management skills and be able to plan and implement programming and computational tasks to reach research objectives within project deadlines. Academic
-
on the experimental and quasi-experimental work of the project. This includes designing and implementing online and mock social-media experiments, developing causal identification strategies in observational data, and