Sort by
Refine Your Search
-
Employer
-
Field
-
and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and
-
of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
-
vesicle-based signalling to nutrient-use efficiency. Manage data, perform statistical analysis and exchange results with project partners producing synthetic EVs and modelling the data. Contribute
-
microbial ecology can be used to inform sustainable management practices that increase soil carbon stocks and reduce nitrogen losses. And the main focus of your position will be soil molecular analysis and
-
experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
-
, stable isotope probing, functional gene analysis, metagenomics, bioinformatics, and the integration of microbial chemical and environmental datasets. The candidate will contribute to establishing a SIP
-
from Danish upper secondary students Compare cross-national data and analyse complete datasets in collaboration with consortium partners Gather and perform preliminary policy analysis of digital and AI
-
the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
-
soil from field sites across Denmark alongside fellow scientists and field station personnel. Planning and executing of field- as well as lab-experiments. Achievement of laboratory data, analysis, and
-
and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality